senior software configuration/release engineer

application engineer

build and release engineer Jobs in Atlanta

build and release engineer

engineer

engineer 1

release train engineer

ai engineer

Manhattan Associates

<div><div><b>We create possibilities that move life and commerce forward</b></div><div></div><div><div><div>
Welcome to Manhattan. Every day, our supply chain commerce technology connects two billion people to 20 billion consumer choices. In the warehouse, on the road and in the store, we make what was once impossible, possible. If you want to tackle complex problems and redefine markets, you&rsquo;ve come to the right place.</div></div></div><div></div><div><b>
Principal AI Engineer</b> is a senior technical leader responsible for designing, developing, and guiding the implementation of advanced artificial intelligence systems that support business goals. They combine deep expertise in machine learning, data science, and software engineering with strategic leadership to drive AI initiatives across an organization. They will drive the adoption of AI solutions by evangelizing their value, educating stakeholders, and guiding teams to integrate scalable and responsible AI capabilities into products and business processes.</div><div></div><div><b>
MINIMUM REQUIREMENTS</b> &ndash;</div><ul><li>
7+ years of industry experience in software engineering, machine learning, or AI roles, with a focus on developing, deploying, and scaling ML/AI solutions.</li><li>
3+ years of proven experience in designing large-scale AI systems and defining technical roadmaps.</li><li>
Strong experience developing AI-driven workflows using eknowledge platforms, and AI agent frameworks such as <b>Microsoft Copilot</b>, <b>Glean</b>, and <b>Google Agentspace</b></li><li>
Deep knowledge of:<ul><li>
Machine Learning (classification, regression, clustering, recommendation systems)</li><li>
Deep Learning (CNNs, RNNs, Transformers, GANs)</li><li>
Natural Language Processing (BERT, GPT, LLM fine-tuning)</li><li>
Computer Vision (YOLO, ResNet, object tracking, OCR)</li></ul></li><li>
Expertise in:<ul><li>
Python and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn, Hugging Face)</li><li>
Data engineering and pipeline development (Airflow, Spark, ETL systems)</li><li>
MLOps, model lifecycle management, and production-grade deployment</li><li>
Cloud platforms (AWS/GCP/Azure), containerization (Docker), orchestration (Kubernetes)</li></ul></li><li>
Track record of scaling ML models from experimentation to production across teams or business units.</li><li>
Design and implement integrations using Model Context Protocol to connect AI models with external tools, APIs, and data sources.</li><li>
Demonstrated ability to set research and development direction based on business needs.</li><li>
Possesses and applies moderate to complex knowledge of particular product or platform to the completion of assignments</li><li>
3+ years experience interfacing and partnering with vendors</li><li>
3+ years experience assisting in strategy/roadmap and planning</li><li>
Strong communication skills and ability to communicate at all levels of the organization (technical and business)</li><li>
2+ years experience leading/mentoring more junior staff members</li><li>
Highly self-motivated, directed, ability to work independently and be results-driven</li><li>
5+ years experience with SharePoint for document management and sharing</li><li>
5+ years experience with IT ticketing software (Quality Center, ServiceNow, JIRA)</li><li>
3+ years experience in agile/waterfall software delivery methodologies</li><li>
3+ years experience using Jira, Bitbucket and Confluence agile toolsets or similar</li><li>
5+ years experience working with small, geographically distributed teams</li><li>
5+ years experience working both independently and in a team oriented, collaborative environment</li><li>
Ability to be flexible while delivering assignments with understanding that deliverables may change based on business needs</li></ul><div></div><div><b>
EDUCATION REQUIREMENTS</b> &ndash;</div><ul><li>
Bachelor&rsquo;s degree or foreign equivalent in computer science, engineering or related field or equivalent work experience</li></ul><div></div><div><b>
Principal Duties and Responsibilities </b>&ndash;</div><ul><li><b>
AI Architecture &amp; Strategy:</b> Design scalable AI/ML architectures and define long-term AI technology strategy aligned with business objectives.</li><li><b>
Model Development:</b> Lead development of machine learning, deep learning, and generative AI models for production environments.</li><li><b>
Technical Leadership:</b> Mentor AI engineers, data scientists, and ML engineers; set engineering standards and best practices.</li><li><b>
Research &amp; Innovation:</b> Evaluate emerging AI technologies and integrate cutting-edge methods into products and platforms.</li><li><b>
Production Deployment:</b> Oversee model deployment, monitoring, optimization, and lifecycle management in cloud or on-prem environments.</li><li><b>
Cross-Functional Collaboration:</b> Work closely with product managers, data engineers, and business stakeholders to translate requirements into AI solutions</li><li><b>
Responsible AI &amp; Governance:</b> Ensure ethical AI practices, model explainability, fairness, privacy, and regulatory compliance.</li><li><b>
Performance Optimization:</b> Improve model accuracy, efficiency, scalability, and reliability for enterprise-scale systems.</li></ul><div></div><div><b>
ADDITIONAL CHARACTERISTICS</b> &ndash;</div><ul><li>
Independently performs assignments to achieve stated objective. Determines and develops approach to solutions</li><li>
Receives technical guidance only on unusual or complex problems or issues</li><li>
May be responsible for entire projects having moderate to complex scope/impact or portions of projects having considerable scope/impact</li><li>
Uses judgment and discretion to determine work priorities, receiving little instruction from others</li></ul><div></div><div>
#LI-JM1</div><div></div><div><b>
Committed to diversity and inclusion</b></div><div></div><div><div>
At Manhattan, it&rsquo;s about more than just the work. From cultural celebrations to interest groups to volunteer opportunities, your true self is always welcome here. Our team members&rsquo; backgrounds, experiences and perspectives add to us as a whole and make us unique.</div><div></div><div>
We are proudly an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a veteran. In the United States, Manhattan Associates participates in the Employment Eligibility Verification Program (E-Verify) operated by the Department of Homeland Security in partnership with the Social Security Administration. Participation in the E-Verify Program allows Manhattan to confirm the employment eligibility of all newly hired employees after the Employment Eligibility Verification Form (Form I-9) has been completed.</div></div></div>

Principal AI Engineer

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)

TK Elevator

<div><b>Group Presentation</b><p><br>
With customers in over 100 countries served by more than 50,000 employees, TK Elevator achieved sales of around &euro;9 billion in fiscal year 2022/2023. We ensure high levels of customer service globally from our extensive network of about 1,000 locations. Over the past several decades, TK Elevator has established itself as one of the world&rsquo;s leading elevator companies and became independent after separation from the thyssenkrupp group in August 2020. The company&rsquo;s most important business line is the service business proudly provided by around 25,000 service technicians. The product portfolio ranges from standardized elevators for low-rise residential buildings to highly customized solutions for skyscrapers. In addition, it covers escalators, moving walks, passenger boarding bridges and stair and platform lifts. Integrated cloud-based solutions, such as the MAX platform, are delivering enhanced services. With these digital offerings, there are no longer any limits to urban mobility. TKE &ndash; move beyond.</p><b><br>
What we expect</b><p><b><br>
The first 3 letters in workplace safety are Y-O-U!</b></p>
<p><b>
TK Elevator </b>is currently seeking a highly skilled and innovative<b> Sr. AI-ML Engineer Data Analytics </b>located in <b>Atlanta, GA.
</b></p><p>Responsible for designing, building, and operationalizing machine learning and AI solutions across the full model lifecycle&mdash;from data preparation and feature engineering through deployment and production monitoring. The Sr. AI/ML Engineer must combine deep hands-on ML expertise with strong engineering discipline to translate complex business problems into reliable, scalable AI systems that deliver measurable value across the manufacturing enterprise.</p>
<p><b>
ESSENTIAL JOB FUCTIONS:</b></p>
<ul>
<li>Design and implement end-to-end ML pipelines covering data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.</li>
<li>Lead AI/ML use-case development&mdash;problem framing, data exploration, algorithm selection, experimentation, and productionization&mdash;for manufacturing and enterprise applications.</li>
<li>Apply supervised, unsupervised, and generative AI techniques including NLP, computer vision, time-series forecasting, and LLM-based applications to business use cases.</li>
<li>Design and maintain MLOps infrastructure including model registries, CI/CD pipelines, experiment tracking, and deployment automation on cloud platforms (Azure, AWS, or GCP).</li>
<li>Establish model monitoring, drift detection, alerting, and retraining triggers to maintain accuracy and reliability in production.</li>
<li>Build data preparation and transformation pipelines for ML workflows, ensuring quality, consistency, and reproducibility across training and inference environments.</li>
<li>Partner with the Data Governance Office and business data owners to ensure training datasets comply with lineage, privacy, and regulatory requirements.</li>
<li>Provide technical guidance and peer review across AI/ML initiatives; mentor junior engineers and data scientists on engineering best practices and production-readiness.</li>
<li>Collaborate with business and IT stakeholders to translate use case requirements into technical specifications and communicate model results in accessible terms.</li>
<li>Evaluate emerging AI/ML frameworks and tools; recommend adoption paths that advance the team's modeling and operational maturity.</li>
</ul><br>
<b>Who we are looking for</b><p><b><br>
EDUCATION &amp; EXPERIENCE:</b></p>
<ul>
<li>Bachelor's degree in Computer Science, Data Science, Statistics, Electrical Engineering, or a related field; Master's or PhD preferred. Or equivalent work experience.</li>
<li>6+ years of hands-on ML engineering or data science experience, with at least 2 years focused on production ML systems in enterprise environments.</li>
<li>Proven expertise deploying models on cloud ML platforms (Azure Machine Learning, Databricks ML, AWS SageMaker, or equivalent); proficiency in Python and key ML libraries (scikit-learn, PyTorch, TensorFlow, XGBoost, or similar).</li>
<li>Strong MLOps experience: experiment tracking, model registries, automated retraining, containerization (Docker, Kubernetes), and CI/CD for ML.</li>
<li>Experience with feature engineering, data pipeline development (Spark, dbt, Azure Data Factory, Databricks), and responsible AI principles including explainability and bias mitigation.</li>
<li>Familiarity with data privacy and compliance frameworks (GDPR, SOX) as they apply to ML training data and model outputs.</li>
<li>Strong communication skills; ability to explain model behavior and trade-offs to both technical and non-technical audiences.</li>
</ul>
<p><b>ACCOUNTABILITES:</b></p>
<ul>
<li>Perform functional and non-functional requirements analysis for ML use cases and translate findings into solution designs.</li>
<li>Maintain high availability and reliability of deployed models and ML pipelines through defined monitoring and operational standards.</li>
<li>Timely resolution of model performance issues, pipeline failures, and production incidents.</li>
<li>Accurate and timely delivery of assigned ML development components within program plans.</li>
<li>Experience with LLMs, prompt engineering, retrieval-augmented generation (RAG), and generative AI frameworks (LangChain, Azure OpenAI, or equivalent), preferred.</li>
<li>Experience applying ML to manufacturing or IoT use cases: predictive maintenance, demand forecasting, quality control, or operational optimization, preferred.</li>
<li>AI/ML certifications: Azure AI Engineer Associate, Databricks Certified ML Professional, AWS ML Specialty, or Google Professional ML Engineer, preferred.</li>
</ul><br>
<b>Contact</b><p><br>
To apply to a position, please click on the <b>Apply Now</b> button.</p>
<p>
For any additional questions or job specific requests, please use the contact
<br>
below and include the Job Requisition Number as a reference.</p>
<p>
Elevatorjobs.AMS@tkelevator.com</p><b><br>
What we offer</b><p><br>
Provided they meet all eligibility requirement under the applicable plan documents, employees will be offered</p>
<ul>
<li>Medical, dental, and vision coverage</li>
<li>Flexible spending accounts (FSA)</li>
<li>Health savings account (HSA)</li>
<li>Supplemental medical plans</li>
<li>Company-paid short- and long-term disability insurance</li>
<li>Company-paid basic life insurance and AD&amp;D</li>
<li>Optional life and AD&amp;D coverage</li>
<li>Optional spouse and dependent life insurance</li>
<li>Identity theft monitoring</li>
<li>Pet insurance</li>
<li>Company-paid Employee Assistance Program (EAP)</li>
<li>Tuition reimbursement</li>
<li>401(k) Retirement Savings Plan with company match: Employees can contribute a portion of their pay on a pre-tax or Roth basis. The company provides a dollar-for-dollar match on the first 5% contributed.</li>
</ul>
<p>Additional benefits include:</p>
<ul>
<li>15 days of vacation per year</li>
<li>11 paid holidays each calendar year (10 fixed, 1 floating)</li>
<li>Paid sick leave, per company policy</li>
<li>Up to six weeks of paid parental leave (available after successful completion of 90 days of full-time employment)</li>
</ul>
<p>Eligibility requirements for these benefits will be controlled by applicable plan documents. This is intended to provide a general description of benefits and other compensation and is not a substitute for applicable plan documents or company policies.</p><b><br>
Additional information</b><p><br>
TK Elevator is an equal opportunity employer and committed to diversity. Qualified applicants will receive consideration for employment without regard to age, gender, race, color, religion, sexual orientation, gender identity, national origin, disability, and veteran status or any other protected status required by applicable law.</p>
<p>
Applicants with disabilities who require reasonable accommodation in connection with the application process are encouraged to email us directly at ElevatorJobs.ams@tkelevator.com or call 1-844-427-5461.</p><br>
Job Reference: US_901745_ET_TKELECP13064</div>

Sr. AI-ML Engineer Data Analytics

Emory University

<div>Discover Your Career at Emory University:
<div>
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.</div>
Description:
<div>
This position designs and implements data analysis pipelines for data science and machine learning / artificial intelligence (AI) to meet specifications of faculty or senior staff either independently or in collaboration with research staff, trainees, and fellows.</div><div></div><div><br>
KEY RESPONSIBILITIES:</div><ul><li>
Uses modern programming languages running on UN*X (Unix-like) operating systems with best practices such as version control, unit tests, and comments.</li><li>
Works with sensitive data in secure environments and adheres to legal frameworks that govern the data (e.g., HIPAA-compliance).</li><li>
Designs and maintains study databases (including relational databases and data lakes) to satisfy research project needs.</li><li>
Creates and maintains documentation of new and existing analysis pipelines to facilitate knowledge transfer.</li><li>
Contributes to research dissemination materials such as manuscripts and presentations and to research design materials such as project proposals.</li><li>
Performs project management or lab management duties according to well-defined specifications.</li><li>
May collaborate with on-premises computing professionals to configure and maintain physical systems, if needed.</li><li>
May supervise undergraduate and graduate trainees.</li>
Performs related responsibilities as required.<br>
<li>
<br>
<br>
</li></ul><div>MINIMUM QUALIFICATIONS:</div><ul><li>
A master's degree OR a bachelor's degree and two years of experience OR six years of experience OR an equivalent combination of education, training, and experience.</li><li>
Desired experience includes machine learning, AI, informatics or related experience.</li><li>
Preferred degrees include mathematics, statistics, computer science, artificial intelligence, informatics, engineering, or a related field.</li></ul><p>
NOTE: This role will be granted the opportunity to work from home regularly but must be able to commute to Emory University location as needed and at times, on short notice. Emory reserves the right to change this status with notice to employee.</p>
Additional Details: Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).
<br>
<br>
Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.</div>

AI Scientist/Engineer II- School of Medicine, BMI Admin

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)

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

Explore 149+ Ai engineer in Atlanta this April. Find roles across top companies and apply now to boost your career.