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software engineer ai

Cargill

<div>
 Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living.
 <br/>
 <br/>
 Our 155,000 team members innovate with purpose, providing customers with life&rsquo;s essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing&mdash;today and for generations to come.
 <br/>
 <br/>
 Job Purpose and Impact
 <br/>
 <br/>
 The Software Engineer maintains and partners to design, development, and maintainenance of Automation and AI solutions &ndash; including ChatGPT-powered copilots and bespoke LLM services in accordance with our AI COE platform standards and guidelines. With limited supervision, deliverables span REST services, vector-search back end, LLMOps &amp; AgentOps pipelines, and rich front-end components for knowledge workers and plant operators. This role will work primarily within our Food NA Digital Technology and Data team and assist with solutions for our technology stack servicing our Food North America Supply Chain team. In this role, you&rsquo;ll have a strong partnership with the business Product Owner with an emphasis on translating product requirements into secure, efficient, and observable services or agents, manage the lifecycle from experiment to production; and continually improve reliability, latency, and cost. You will work as part of a product team to ensure the digital products outputs of the team maximize value and drive efficiency, consistency, and digitally connected experiences for commercial teams and customers. Expect to collaborate outside of the product team with other product managers, AI Center of excellence, cloud engineers, and security teams across the digital and technology and data ecosystem.
 <br/>
 <br/>
 Internal Job Title: Software Engineer
 <br/>
 <br/>
 Key Accountabilities
 <br/>
 <br/>
 SOFTWARE DEVELOPMENT:
 <br/>
 <br/>
 <ul>
  <li>
   Develop multi-agent workflow automation patterns using Agentic AI
  </li>
  <li>
   Process redesign and mapping to agentic workflow patterns
  </li>
  <li>
   Aid in architecting scalable micro-services that wrap LLM/RAG/Agent workflows (Python).
  </li>
  <li>
   Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents
  </li>
  <li>
   Profile inference latency, GPU/CPU utilization, and memory
  </li>
  <li>
   Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software/AI solutions
  </li>
  <li>
   Lead bug-fix, security-patch, and performance-tuning for live AI Assistants and AI Agents
  </li>
  <li>
   Contributes to creating and maintaining comprehensive documentation for agents, applications, deployment processes and system configurations.
   <br/>
   <br/>
  </li>
 </ul>
 AUTOMATION:
 <br/>
 <br/>
 <ul>
  <li>
  </li>
  <ul>
   <li>
    Applies internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.
    <br/>
   </li>
  </ul>
 </ul>
 COLLABORATION:
 <br/>
 <br/>
 <ul>
  <li>
  </li>
  <ul>
   <li>
    Gathers requirements and deliver solutions that meet business needs.
   </li>
   <li>
    Experience working within product and agile delivery frameworks including backlog management and cross-functionality delivery and full E2E engineering.
   </li>
   <li>
    Experience with enterprise architecture, data governance, or security standards in the context of digital solution delivery as part of E2E engineering and solution architecture.
    <br/>
   </li>
  </ul>
 </ul>
 CONTINUOUS IMPROVEMENT:
 <br/>
 <br/>
 <ul>
  <li>
  </li>
  <ul>
   <li>
    Makes suggestions for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.
    <br/>
   </li>
  </ul>
 </ul>
 CAPABILITY &amp; TECHNOLOGY STACK EXPOSURE:
 <br/>
 <br/>
 <ul>
  <li>
  </li>
  <ul>
   <li>
    Experience with digital technologies in the supply chain space
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.
  </li>
  <li>
   Experince with one or more of the following technologies:
  </li>
  <ul>
   <li>
    React/Typescript/UI&rsquo;s
   </li>
   <li>
    Java Spring Boot/ Python / API&rsquo;s
   </li>
   <li>
    PostgreSQL
   </li>
   <li>
    CI/CD pipelines
   </li>
   <li>
    AWS Cloud Services
    <br/>
   </li>
  </ul>
 </ul>
 Short Description
 <br/>
 <br/>
 <ul>
  <li>
   The expected salary for this position is $80,000-$115,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance. At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: https://www.cargill.com/page/my-health/mh-health-and-wellness to learn more (subject to certain collective bargaining agreements for Union positions).
   <br/>
   <br/>
  </li>
 </ul>
 Equal Opportunity Employer, including Disability/Vet.
</div>


Software Engineer - AI

The Home Depot

<div><div><p><b>Position Purpose:</b></p><p>
The Sr Machine Learning Engineer is responsible for designing, building, integrating, optimizing, and maintaining AI-powered applications that leverage generative models and overall product lifecycle for a product that our users love. Generative AI Engineers are expected to collaborate closely with teammates as they develop and deliver user stories while supporting AI-powered products as they evolve. Generative AI Engineers may design and implement applications using large language models (LLMs) and other generative models to embed intelligent capabilities directly into software products. Activities may include prompt engineering, model integration, building Retrieval-Augmented Generation (RAG) pipelines, and developing scalable AI services. The role may interact with business stakeholders, infrastructure teams, and development teams to ensure business requirements are effectively addressed through generative AI solutions. The role may also support evaluation, performance optimization, testing, and monitoring of AI systems in production. Additional responsibilities may include working with domain data, improving prompts and AI workflows, and creating documentation or enablement materials for generative AI solutions.<br>
<br>
Sr Generative AI Engineers should be able to work independently with minimal guidance, while collaborating with cross-functional teams of varying skill levels to design, deploy, and maintain production AI applications. This role may review submitted code and prompt implementations, providing feedback and improvements based on engineering and responsible AI best practices.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
70% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do &quot;destructive testing&quot; to ensure adequate resiliency in production; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
10% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations</li><li>
20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This Position typically reports to Software Engineer Manager or Sr. Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
3 - 5 years of relevant work experience<br>
Experience in Python and modern AI development frameworks<br>
Experience building Generative AI applications using large language models (LLMs)<br>
Experience with prompt engineering, prompt optimization, and prompt evaluation techniques<br>
Experience integrating AI models through APIs from platforms such as Google, OpenAI or Anthropic<br>
Experience with GenAI frameworks such as Google Agent Development Kit (ADK)<br>
Experience implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases<br>
Experience working with vector databases such as google Vertex AI Search<br>
Experience with building conversational AI systems, or AI assistants<br>
Experience with responsible AI practices including bias mitigation and safety guardrails<br>
Experience working with graph databases, knowledge ingestion pipelines, and data mesh architectures to enable scalable, connected, and queryable AI knowledge systems.<br>
Experience implementing CI/CD pipelines, monitoring, and automated workflows for reliable AI model deployment and lifecycle management.<br>
Experience with monitoring, evaluation, and optimization of production AI systems<br>
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc- Experience in a modern scripting language (preferably Python)<br>
Experience with GPU acceleration (i.e. CUDA and cuDNN)<br>
Experience in a front-end technology and framework such as Node.js, HTML, CCS, JavaScript, ReactJS, D3<br>
Experience in writing SQL queries against a relational database<br>
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security<br>
Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide<br>
Familiarity with defensive coding practices and patterns for high Availability<br>
Familiarity with A/B testing and effective REST design for scalable web services architecture<br>
Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization.</li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
2</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul><p><i>
Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit </i><i>https://careers.homedepot.com/our-benefits</i><i>.</i></p></div><p></p><p><br>
Apply End Date: 05/11/2026</p></div>

Senior Machine Learning Engineer – Generative AI (Remote)

<div><div><p><b>Position Purpose:</b></p><p>
The Staff Machine Learning Engineer is responsible for joining cross-functional teams (product, design, Engineering, infrastructure) to build innovative GenAI application experiences and overall product lifecycle for a product that our users love. The engineering process is highly collaborative. Staff ML Engineers are expected to pair daily as they work through user stories and support products as they evolve.<br>
Generative AI Engineers may design and implement applications using large language models (LLMs) and other generative models to embed intelligent capabilities directly into software products. Activities may include prompt engineering, model integration, building Retrieval-Augmented Generation (RAG) pipelines, and developing scalable AI services. The role may interact with business stakeholders, infrastructure teams, and development teams to ensure business requirements are effectively addressed through generative AI solutions. The role may also support evaluation, performance optimization, testing, and monitoring of AI systems in production. Additional responsibilities may include working with domain data, improving prompts and AI workflows, and creating documentation or enablement materials for generative AI solutions.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
45% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions, Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
15% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations; Attends conferences and learns how to apply new innovations and technologies where appropriate</li><li>
20% Strategy and Planning - Researches and analyzes business trends and behavioral data to identify opportunities for improvement and new initiatives; Leads the evaluation development and recommendation of specific technology products and platforms to provide cost-effective solutions that meet business and technology requirements; Researches and designs best fit infrastructure, network, database, security, and machine learning architectures for products; Proactively creates and maintains tools for monitoring and support; Participates in project planning and management across multiple efforts; Develops formal training courses</li><li>
20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This Position typically reports to Software Engineer Manager or Sr Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
5 - 7 years of relevant work experience</li><li>
Experience in Python and modern AI development frameworks</li><li>
Experience building Generative AI applications using large language models (LLMs)</li><li>
Experience with prompt engineering, prompt optimization, and prompt evaluation techniques</li><li>
Experience integrating AI models through APIs from platforms such as Google, OpenAI or Anthropic</li><li>
Experience with GenAI frameworks such as Google Agent Development Kit (ADK)</li><li>
Experience implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases</li><li>
Experience working with vector databases such as google Vertex AI Search</li><li>
Experience with building conversational AI systems, or AI assistants</li><li>
Experience with responsible AI practices including bias mitigation and safety guardrails</li><li>
Experience working with graph databases, knowledge ingestion pipelines, and data mesh architectures to enable scalable, connected, and queryable AI knowledge systems.</li><li>
Experience implementing CI/CD pipelines, monitoring, and automated workflows for reliable AI model deployment and lifecycle management.</li><li>
Experience with monitoring, evaluation, and optimization of production AI systems</li><li>
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc- Experience in a modern scripting language (preferably Python)</li><li>
Experience with GPU acceleration (i.e. CUDA and cuDNN)</li><li>
Experience in a front-end technology and framework such as Node.js, HTML, CCS, JavaScript, ReactJS, D3</li><li>
Experience in writing SQL queries against a relational database</li><li>
Experience in advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization</li><li>
Experience in training machine learning models with extremely large datasets</li><li>
Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc.</li><li>
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security</li><li>
Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide</li><li>
Familiarity with defensive coding practices and patterns for high Availability</li><li>
Familiarity with A/B testing and effective REST design for scalable web services architecture</li><li>
Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization</li><li>
Familiarity with advanced machine learning architectures GANs, GRU, LSTMs, RNNs, CNNs, style transfer</li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
3</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul><p><i>
Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit </i><i>https://careers.homedepot.com/our-benefits</i><i>.</i></p></div><p></p><p><br>
Apply End Date: 05/11/2026</p></div>

Staff Machine Learning Engineer – Generative AI (Remote)

<div><div><p><b>Position Purpose:</b></p><p><b>
The Sr. Systems Engineer within the CoreAI team is responsible for independently developing, maintaining, and supporting The Home Depot's generative AI and agentic infrastructure that drives the success of Home Depot and our customers. Leading from a THD mindset, you will apply a first principles approach to solve complex engineering problems, breaking down ambiguous challenges to architect robust, scalable systems from the ground up. You will act as a consultative technical bridge between cutting-edge AI frameworks and practical enterprise business applications.</b></p><p></p><p><b>
As a Sr. Systems Engineer, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production-grade AI infrastructure. You will independently lead technical discovery sessions, architect custom ADK agents based on core engineering fundamentals, and establish governance for organizational-wide usage. In addition, Sr. Systems Engineers may be involved in routine model upgrades and application support, as well as rigorous root cause and post-mortem analyses around AI security incidents, system hallucinations, distributed system bottlenecks, and service interruptions.</b></p><p><b>
Key Responsibilities:</b></p><ul><li>
30% Delivery &amp; Execution - Keeps abreast of innovations and industry trends as well as changes to internal systems and determines how they impacts tools, training, and support necessary to keep systems up, running, and secure; Participates in and contributes to learning activities around modern systems engineering core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations</li><li>
15% Learning - Keeps abreast of innovations and industry trends as well as changes to internal systems and determines how they impacts tools, training, and support necessary to keep systems up, running, and secure; Participates in and contributes to learning activities around modern systems engineering core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations</li><li>
20% Planning &amp; Analysis - Researches and analyzes business trends and behavioral data to identify opportunities for improvements and new initiatives; Drives the evaluation, development, and recommendation of specific technology to provide cost-effective solutions that meet THD requirements; Researches and designs best fit infrastructure, network, database, cloud, AI, and security architectures for products; Proactively creates and maintains tools for monitoring and support; Participates in project planning and reporting across multiple efforts</li><li>
35% Support &amp; Enablement - Collaborates with product and project teams to understand needs and enable them with infrastructure; Supports technology architecture design review efforts for project and product teams; Leverages tooling and custom applications to monitor the operational status of applications, infrastructure, networks, databases, and security; optimizes and tunes performance as appropriate; Drives root cause analysis, debugging, support, and post-mortem analysis for security incidents and service interruptions; Maintains, upgrades, and supports existing systems and infrastructure to ensure operational stability; Opens and manages vendor problem tickets to resolution; Drives the production of in-house documentation around solutions; Provides application support for software running in production; Drives moving KB articles to infrastructure as code models; Drives keeping monitoring/alerting up to date</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position typically reports to Systems Engineer Manager or Sr Manager</li><li>
This position has 0 Direct Reports</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
No travel required.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li><b>
Professional or educational experience as an Information Technology, Platform, or AI/MLOps Engineer, with a strong emphasis on applying first principles thinking to system design and troubleshooting.</b></li><li><b>
Experience working as part of a collaborative, cross-functional, modern engineering team, including a proven ability to lead technical discovery sessions and present tailored architectural solutions to both technical (MLEs, developers) and non-technical business stakeholders.</b></li><li><b>
Experience with scripting and programming, with mandatory strong proficiency in Python, Model Context Protocol (MCP), and building robust ADK agents. Familiarity with orchestration frameworks like LangChain or LlamaIndex is a plus.</b></li><li><b>
Experience with cloud platforms, primarily GCP, with hands-on core engineering expertise in Vertex AI Agent Engine, Vertex AI Vector Search, and BigQuery.</b></li><li><b>
Experience monitoring the operational status and performance of, and configuring as well as tuning, systems, networks, vector databases, and LLM telemetry (latency, token usage, cost).</b></li><li><b>
Familiarity with system and environment analysis, design, and optimization for enterprise-wide generative AI platforms, focusing on foundational engineering requirements like high availability, fault tolerance, and establishing AI governance and compliance guardrails.</b></li><li><b>
Experience in troubleshooting and remediation within multiple Information technology disciplines, applying deep root-cause analysis to resolve complex agentic workflow and distributed system failures.</b></li><li><b>
Experience installing and upgrading applications or databases and performing system maintenance for high-throughput ML/AI workloads.</b></li><li><b>
Familiarity with debuggers, runtime analysis, library systems, compiled programming, and software update tools.</b></li><li><b>
Experience supporting a 24x7 retail operation, understanding the immense scale, security, and reliability required for THD enterprise systems.</b></li><li><b>
Experience with version control systems and CI/CD toolchains tailored for the deployment of ML models, AI agents, and microservices.</b></li><li><b>
Experience with production system designs including Infrastructure as Code (e.g., Terraform), containerization (e.g., GKE), High Availability, and Performance monitoring.</b></li><li><b>
Exposure to Site Reliability Engineering (SRE), including enforcing least-privilege IAM policies and securely managing auth tokens for AI service accounts.</b></li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
4</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Action Oriented</li><li>
Being Resilient</li><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Optimizes Work Processes</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul><p><i>
Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit </i><i>https://careers.homedepot.com/our-benefits</i><i>.</i></p></div><p></p><p><br>
Apply End Date: 05/25/2026</p></div>

Senior Systems Engineer, CoreAI - Agentic Solutions (Remote)

Greenlight Financial Technology

<div><div><div>Greenlight is the leading family fintech company on a mission to help parents raise financially smart kids. We proudly serve more than 6 million parents and kids with our award-winning banking app for families. With Greenlight, parents can automate allowance, manage chores, set flexible spend controls, and invest for their family&rsquo;s future. Kids and teens learn to earn, save, spend wisely, and invest.</div>
<div></div>
<div>At Greenlight, we believe every child should have the opportunity to become financially healthy and happy. It&rsquo;s no small task, and that&rsquo;s why we leap out of bed every morning to come to work. Because creating a better, brighter future for the next generation depends on it.</div><div></div><div><p><br>
We are looking for an<b> AI/ML Engineer</b> to join our AI team. The AI/ML Engineer designs, builds, and ships production Generative AI applications, AI agents, and ML systems for customer-facing and internal products. The role pairs deep expertise in large language models and agentic architectures with senior-level software engineering to deliver scalable, secure AI solutions. This engineer leads technical design of complex AI systems, drives cross-functional collaboration with product, platform, and security teams, and shapes the strategic direction of AI/ML capabilities across the organization.</p>
</div></div><div><div><h3 class="jobSectionHeader"><b>
Your day-to-day:</b></h3><div><div><div>
<ul><li>Design, build, and deploy production AI agents and multi-agent orchestration systems with prompt engineering, LLM chaining, and tool-calling patterns for complex, multi-step workflows.</li>
<li>Architect RAG pipelines with vector search, hybrid retrieval, and knowledge base management for AI-driven question-answering and decision-support.</li>
<li>Integrate third-party AI platforms and LLM providers, designing authentication flows, tool schemas, and agent-to-backend communication.</li>
<li>Design AI agent security architectures including token exchange, delegated access, and user verification flows for systems acting on behalf of users.</li>
<li>Build production microservices and APIs (FastAPI, Flask, Node.js) serving as orchestration layers and tool endpoints for AI agent systems.</li>
<li>Architect authentication and authorization for AI services: identity provider integration, token validation, and service-to-service auth.</li>
<li>Deploy, monitor, and maintain ML models and AI agent endpoints on cloud platforms (Databricks, AWS SageMaker) including scaling and health management.</li>
<li>Build data ETL pipelines for feature engineering, transaction processing, and knowledge base ingestion.</li>
<li>Develop evaluation and monitoring frameworks for non-deterministic AI systems: agent correctness testing, retrieval quality, and alerting.</li>
<li>Author technical design docs, architecture diagrams, and API contracts; mentor junior and mid-level engineers on AI development practices.</li>
<li>Lead architecture reviews and produce design documents with implementation roadmaps; evaluate emerging AI technologies to inform team strategy.</li>
<li>Collaborate cross-functionally with product, platform, security, and operations to define requirements, prioritize features, and ship AI integrations end-to-end.</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>What you&rsquo;ll bring to the team:</b></h3><div><div><div>
<ul><li>Extensive experience building and deploying AI agents and Generative AI applications in production.</li>
<li>Deep knowledge of LLMs, agentic architectures, multi-agent systems, RAG, vector search, tool use/function calling, prompt engineering, and fine-tuning.</li>
<li>Hands-on experience with AI/ML frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent.</li>
<li>Strong software engineering skills building production microservices and APIs in Python or JavaScript/TypeScript.</li>
<li>Experience designing auth systems for AI applications: OAuth, token-based access control, and delegated authorization.</li>
<li>Proficiency with a major cloud ML platform (Databricks, AWS SageMaker, or Google Vertex AI) for deployment and serving.</li>
<li>Ability to produce clear technical design documentation and architecture specs for complex systems.</li>
<li>Strong cross-functional communication and collaboration across product, engineering, security, and operations.</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Preferred experience:</b></h3><div><div><div>
<ul><li>Experience with CI/CD pipelines and infrastructure tooling (GitHub Actions, Jenkins, Kubernetes, Terraform).</li>
<li>Experience with a JVM language (Java, Kotlin, or Scala) for backend service development.</li>
<li>Background in data pipeline and streaming tools (Airflow, Spark).</li>
</ul>
<div><p>Not sure this one&rsquo;s for you? Don&rsquo;t count yourself out. Show us what you&rsquo;ve got and we&rsquo;ll reach out if there&rsquo;s a great fit.</p>
</div>
</div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Work perks at Greenlight:</b></h3><div><div><div>
<div><div><ul><li>Medical, dental, vision, and HSA match</li>
<li>Paid life insurance, AD&amp;D, and disability benefits</li>
<li>Traditional 401k with company match</li>
<li>Unlimited PTO</li>
<li>Paid company holidays and pop-up bonus holidays</li>
<li>Professional development stipends</li>
<li>Mental health resources</li>
<li>1:1 financial planners</li>
<li>Fertility healthcare</li>
<li>100% paid parental and caregiving leave, plus cleaning service and meals during your leave</li>
<li>Flexible WFH, both remote and in-office opportunities</li>
<li>Fully stocked kitchen, catered lunches, and occasional in-office happy hours</li>
<li>Employee resource groups</li>
</ul></div></div></div></div></div></div></div><div><div><div><div><div><b>Our stance on salaries:</b></div>
<div>Greenlight provides a competitive compensation package with a market-based approach to pay and will vary depending on your location, experience and skill set. The total compensation package for this position will also include a discretionary performance bonus, equity rewards, medical benefits, 401K match, and more. Greenlight conducts continuous compensation evaluations across departments and geographies to ensure we are keeping our pay current and competitive.</div>
<div></div>
<div>The estimated base pay range for this position in (NY, CA, WA): $160,000- 190,000</div>
<div>The estimated base pay range for this position in (CO): $160,000- 180,000</div></div><br>
</div>
</div><div></div><br>
<div><b>Who we are:</b></div>
<div>It takes a special team to aim for a never-been-done-before mission like ours. We&rsquo;re looking for people who love working together because they know it makes us stronger, people who look to others and ask, &ldquo;How can I help?&rdquo; and then &ldquo;How can we make this even better?&rdquo; If you&rsquo;re ready to roll up your sleeves and help create a world where every child grows up to be happy and healthy in money and life, apply to join our team.</div>
<div></div>
<div>Greenlight is an equal opportunity employer and will not discriminate against any employee or applicant based on age, race, color, national origin, gender, gender identity or expression, sexual orientation, religion, physical or mental disability, medical condition (including pregnancy, childbirth, or a medical condition related to pregnancy or childbirth), genetic information, marital status, veteran status, or any other characteristic protected by federal, state or local law.</div>
<div></div>
<div>Greenlight is committed to an inclusive work environment and interview experience. If you require reasonable accommodations to participate in our hiring process, please reach out to your recruiter directly or email accomodations@greenlight.me.</div>
</div><div></div><div><div><i>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</i></div></div></div>

AI/ML Engineer Atlanta (Remote Friendly)

<div><div><p><b>Position Purpose:</b></p><p><b>
As a Manager, AI Platform Engineering, you will lead the development and evolution of our enterprise Generative AI platform, enabling scalable, secure, and high-impact AI capabilities across the organization. This role combines technical delivery leadership with strategic thinking, overseeing a team of engineers to build and operate GenAI platform services, agentic workflows, and multi-model orchestration.</b></p><p><b>
You will partner with product, data, legal, cybersecurity, and business stakeholders to translate AI use case needs into scalable, reusable platform capabilities that drive enterprise-wide adoption and efficiency. You will ensure alignment with security, privacy, and governance standards while enabling successful delivery and commercialization at scale. In addition, you will collaborate with strategic vendors and internal platform teams to accelerate innovation and support a growing portfolio of AI solutions.</b></p><p><b>
This role is critical to scaling AI adoption across the enterprise, balancing rapid innovation with operational excellence and responsible AI practices.</b></p><p><b><br>
Key Responsibilities:</b></p><ul><li>
30% Delivery &amp; Execution:</li><li>
Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions</li><li>
Documents, reviews and ensures that all quality and change control standards are met</li><li>
Writes custom code or scripts to automate infrastructure, monitoring services, and test cases</li><li>
Works with vendors and partners for the successful implementation of critical tooling and platforms</li><li>
Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment</li><li>
Evaluates new technologies for adoption across the enterprise</li><li>
Participates in and leads review board sessions to drive consistency across the enterprise</li><li>
Fills in on product teams for engineers who are out of the office</li><li>
10% Support &amp; Enablement:</li><li>
Fields questions from engineers, product teams, or support teams</li><li>
Monitors tools and participates in conversations to encourage collaboration across product teams</li><li>
Provides application support for software running in production</li><li>
Acts as a technical escalation point for the engineers on the team</li><li>
50% People:</li><li>
Provides leadership, mentoring, and coaching to Software Engineers</li><li>
Attracts, retains, and develops top talent to build a world class Software Engineering Team</li><li>
Conducts annual and mid-year reviews by reviewing individual development plans and team feedback</li><li>
Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests</li><li>
Acts as a proponent of modern software development practices</li><li>
Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams</li><li>
Participates in and contributes to learning activities around modern software design and development core practices (communities of practice)</li><li>
10% Learning:</li><li>
Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations</li><li>
Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
Typically reports to the Software Engineer Sr. Manager, Technology Director or Sr. Director.</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
Mastery of an object oriented programming language (preferably Java)</li><li>
Must be legally permitted to work in the United States</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li><p><b>
8+ years of related work experience in software engineering, with at least 2 years focused on AI/ GenAI projects for large enterprises.</b></p></li><li><b>
Experience with modern software delivery practices, including CI/CD pipelines, containerization, and orchestration technologies (e.g., Docker, Kubernetes), with a strong understanding of deploying and operating scalable, production-grade systems.</b></li><li><b>
Experience designing or building AI agents and agent-based workflows, including orchestration of LLMs, tools, and external systems in production environments.</b></li><li><b>
Strong understanding of AI, machine learning, and software engineering concepts, demonstrated through recent certifications or project experience</b></li><li><b>
Proven track record of managing complex technical projects and leading junior engineering teams</b></li><li><b>
Deep experience with ad tech, streaming media platforms, and digital content delivery</b></li><li><b>
Familiarity with agile methodologies and project management tools (e.g., Jira, Trello, Monday)</b></li><li><b>
Experience with cloud platforms (e.g. Azure, GCP) for scalable AI system deployment</b></li><li><b>
Excellent problem-solving and analytical skills</b></li><li><b>
Strong communication skills with ability to explain AI and software engineering concepts to both technical and non-technical audiences</b></li><li><b>
Knowledge of privacy and security considerations in AI applications</b></li><li><b>
Understanding of AI ethics and responsible AI practices</b></li><li><b>
Strong leadership and mentoring abilities</b></li><li><b>
Excellent interpersonal and team collaboration skills</b></li><li><b>
Ability to think strategically about AI applications and their business impact</b></li><li><b>
Proactive and self-motivated with a passion for emerging AI technologies and software engineering practices</b></li><li><b>
Adaptable and able to thrive in a fast-paced, rapidly evolving AI and software development landscape.</b></li><li><b>
Bachelor's degree in Computer Science, Software Engineering, or related field.</b></li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
5</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders</li><li>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</li><li>
Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations</li></ul><p><i>
Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit </i><i>https://careers.homedepot.com/our-benefits</i><i>.</i></p></div><p></p><p><br>
Apply End Date: 05/12/2026</p></div>

Manager, AI Platform Engineering (Remote)

Disguise Technologies Ltd

<div><div><p>Disguise sits at the heart of the most inspiring live and virtual experiences in the world, leading the market in building a software and hardware solution that designs, sequences and controls the most spectacular productions across film and TV, broadcast, live and corporate events.</p></div><h3 class="jobSectionHeader"><b>
Role: 2nd Line Support Engineer</b><br>
<b>Department: IT</b><br>
<b>Location: Atlanta</b><br>
<b>Reports into: Director of IT, UK based</b><br>
<b>Contract: Full Time</b></h3>
<p><b>
About the role</b><br>
We are seeking a seasoned IT Support Engineer to act as the global escalation point and technical contact across our international offices. This is a hands-on role combining infrastructure, cloud, security, networking, automation, and server administration ideal for someone who thrives in complex environments and enjoys owning problems end-to-end.</p>
<p><b>
What you will do</b></p>
<ul>
<li>Act as the senior escalation point for complex global IT issues</li>
<li>Independently triage and close high-impact tickets</li>
<li>Lead Jira administration and workflow optimisation</li>
<li>Manage AWS (S3, EC2, RDS) and Azure environments</li>
<li>Maintain Windows/Linux servers (on-prem and cloud)</li>
<li>Strengthen cybersecurity posture (endpoint, IAM, risk awareness)</li>
<li>Support global networking (Meraki, Sophos, firewalls)</li>
<li>Drive automation, scripting, and AI-enabled process improvements</li>
<li>Contribute to High Availability (HA), Disaster Recovery (DR), and Business Continuity planning</li>
<li>Ownership of certificate lifecycle management, including SSL/TLS, PKI, and platforms such as DigiCert.</li>
</ul>
<p><b>Experience we are looking for</b></p>
<ul>
<li>Strong Jira administration and workflow experience</li>
<li>Experience in Perforce administration</li>
<li>Proven 2nd Line support expertise</li>
<li>AWS and/or Azure cloud experience</li>
<li>Solid networking fundamentals and troubleshooting skills</li>
<li>Cybersecurity knowledge (SOC, endpoint, IAM)</li>
<li>Firewall administration (e.g., Sophos)</li>
<li>Scripting and automation mindset</li>
<li>AI tooling familiarity and integration awareness</li>
<li>Ability to operate independently in a global environment</li>
</ul>
<p><b>Skills, behaviours and values we are looking for:</b></p>
<ul>
<li><b>Technical Expertise</b>: Deep understanding of IT systems, hardware/software troubleshooting, and network administration to provide timely, effective support.</li>
<li><b>Problem-Solving Abilities</b>: Skilled in diagnosing and resolving complex issues with a structured, methodical approach, ensuring quick and accurate solutions.</li>
<li><b>Clear Communication</b>: Ability to explain technical concepts in simple terms to both technical teams and non-technical users, ensuring clarity and transparency.</li>
<li><b>Customer-Centric</b>: Excellent customer service skills, with a focus on understanding user needs and delivering a positive support experience.</li>
<li><b>Attention to Detail</b>: High standard of accuracy in troubleshooting, documentation, and reporting, ensuring no details are overlooked and issues are fully resolved.</li>
<li><b>Proactive &amp; Driven</b>: Demonstrates a proactive mindset, identifying potential problems before they escalate and continuously seeking ways to improve processes.</li>
<li><b>Accountability</b>: Takes ownership of assigned tasks and incidents, managing priorities effectively to ensure issues are resolved in a timely and efficient manner.</li>
<li><b>Adaptability &amp; Resilience</b>: Comfortable working in a fast-paced environment, quickly adjusting to new technologies, evolving business needs, and high-pressure situations with a positive attitude.</li>
<li><b>Collaboration &amp; Teamwork</b>: Works well within cross-functional teams, actively sharing knowledge, offering support, and learning from colleagues to continuously improve team performance.</li>
</ul><div><p><b>
About Disguise</b></p>
<p>
Disguise is the industry-leading platform sitting at the heart of a new era of visual experiences. One powerful integrated system of software, hardware and services to help create the next dimension of real-time spectacle.<br>
We partner with the biggest entertainment brands and companies in the world to deliver the A-list of live music events, live TV broadcasts, immersive experiences, installations, theatre, film and TV production, corporate communications and brand product launches. Working with Disney, Snapchat, Netflix, ESPN, the Burj Khalifa, and Adele, Disguise is the number one partner delivering the next dimension of entertainment.</p><br>
<p></p>
<p><b><i>
Don't Disguise your differences.</i></b></p>
<p>
Innovation comes from everyone. We strive to create a workplace that reflects our diverse audience. We celebrate our people for their full authentic selves, and embrace uniqueness. Inclusion and Equity matter at Disguise. We create together and we create everywhere.</p><br>
<p></p>
<p><b>
Our values</b></p>
<ul>
<li><i>Honest. We are real with ourselves and our clients and share our ideas with openness and transparency.</i></li>
<li><i>Evolutionary. We innovate using our user's ever-changing needs so our technology remains ahead-of-the-game.</i></li>
<li><i>Fearless. We take the best path, not the easiest, and innovate where it's right, not where it's simplest.</i></li>
<li><i>Resilience. We don't give up until we find the right solution, even if it means going outside our remit.</i></li>
<li><i>Belong. We create an environment where everyone feels like they belong and is empowered to do their best work.</i></li></ul><br>
<p></p>
<p><b>
Our benefits</b></p>
<ul>
<li>We have a suite of globally relevant competitive benefits packages as we want to make sure we retain the best talent out there. Our benefits for every perm hire, globally include:</li>
<li>Unlimited Paid Time Off - with minimum time you must take set at 20% above statutory</li>
<li>Hybrid working between home and our offices (dependent on role and location)</li>
<li>Mental health and wellbeing support - subscription to the Calm app, mental health first-aid buddies, employee assistance programmes</li>
<li>Gig allowance - &pound;400 (or local equivalent) to spend on tickets every year to immerse yourself in our industries</li>
<li>Belonging policies - including (but not limited to) support for Parental, Fertility, Miscarriage, Menopause and Transitioning</li>
<li>Training, coaching &amp; mentoring</li></ul></div></div>

2nd Line Support Engineer

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