genai engineer

Openkyber

<div>Role: GenAI Engineer Locations: Alpharetta, GA (Hybrid Onsite) Duration: 12+ Months Contract F2F Interview MUST Note: Candidate needs to be in the office 3-4 Days every week. Local or candidates from adjacent states only. 
Role Overview: Candidates must have experience delivering enterprise AI solutions in production environments (NOT only POC or personal projects/ Educational Projects) We are seeking a Senior GenAI Engineer with strong experience in machine learning, generative AI and enterprise scale AI platform development. The ideal candidate should have hands-on experience building production grade AI systems including Retrieval Augmented Generation (RAG) platforms, vector search pipelines, autonomous AI agents and scalable ML model deployment. The role requires expertise in Python based ML development, LLM frameworks, vector databases and AI orchestration frameworks such as LangChain, LangGraph and Hugging Face. 
Required Skills: Experience with enterprise level projects only. Strong Python development experience 7 years. Hands-on experience with RAG Vector, DB Embeddings and document chunking, Semantic search pipelines. Experience with LangChain, LangGraph and Hugging Face. Experience with Pandas, NumPy and data preprocessing pipelines. Experience deploying ML models as REST APIs and integrating AI with enterprise systems. 
Preferred Skills: Experience with Natural Language Processing NLP and Deep Learning Familiarity with Transformers and Large Language Models LLMs Experience with Cloud ML platforms such as Azure AI, AWS SageMaker, etc. 
Nice to Have: Experience building AI agents or autonomous systems. Knowledge of vector databases Pinecone Weaviate Milvus FAISS. Experience with MLOps practices Docker and Kubernetes. Exposure to multimodal AI systems. 
In compliance with the salary transparency law, the expected pay range for this role is $57.00 $62.00/hr. Actual compensation depends on experience and interview evaluation.
For applications and inquiries, contact: hirings@openkyber.com</div>

Generative AI Intern

Charles Schwab

<div><h2 class="jobSectionHeader">Your opportunity</h2><div> 
At Schwab, your career is more than a job&mdash;it's an opportunity to impact the lives of millions. Innovation and creative problem solving thrive here, as we challenge conventional approaches and prioritize collaboration. We value in-person teamwork, so this role is based on-site at our San Francisco office.</div><div></div><div> 
As part of Schwab&rsquo;s AI Strategy &amp; Transformation team (AI.x), you&rsquo;ll join the central hub for Artificial Intelligence across the company. AI.x brings together product, engineering, strategy, and risk specialists to set enterprise AI vision, invest in transformative opportunities, and accelerate delivery organization-wide. Our team builds the scalable core platform for AI and explores next-generation GenAI initiatives that redefine client experiences.</div><div></div><div> 
We&rsquo;re seeking a Senior AI Engineer who will design and deliver cutting-edge GenAI applications, enhancing the client journey and driving tangible business value. You&rsquo;ll collaborate closely with architects, engineers, and business leaders to align solutions with Schwab&rsquo;s strategic goals, and mentor junior team members&mdash;cultivating best engineering practices and a culture of continuous learning.</div><div></div><div> 
In this pivotal role, you&rsquo;ll not only advance technical standards and solve complex challenges, but also lead rapid iterations from concept to production. You will bring curiosity, creativity, and technical depth to help shape the next era of AI at Schwab, with a special emphasis on site reliability, monitoring, observability, and operations. You&rsquo;ll ensure that the systems you build are robust, reliable, and well-monitored, implementing best practices for observability and operational excellence to maintain high performance and uptime for mission-critical AI applications.</div><ul><li>
Design, build, and deliver GenAI applications that elevate client experience and generate business impact.</li><li>
Champion reliability, monitoring, observability, and operational best practices for AI systems and data pipelines.</li><li>
Collaborate with cross-functional teams to align solutions with enterprise strategy and technical standards.</li><li>
Mentor and coach junior engineers, fostering strong practices and continuous learning.</li><li>
Lead by example in solving complex technical challenges and driving rapid iteration from concept to deployment.</li><li>
Implement and maintain monitoring, alerting, and incident response frameworks to ensure system health and reliability.</li><li>
Advance engineering standards, focusing on operational excellence and quality across all deliverables.</li></ul><h2 class="jobSectionHeader">
What you have</h2><div> 
Required Qualifications</div><ul><li>
8+ years of software development experience, with 4+ years as a hands-on senior engineer in startups and/or large organizations.</li><li>
Bachelor&rsquo;s degree in Computer Science or related field.</li><li>
5+ years building complex products from scratch, running them in production, and ensuring operational reliability.</li><li>
3+ years building applications leveraging AI models for measurable business impact.</li><li>
3+ years developing applications and data pipelines interfacing with large datasets.</li><li>
3+ years working with containers and cloud-native applications, operationalizing them in the public cloud with infrastructure as code.</li></ul><div>
Preferred Qualifications</div><ul><li>
Strong computer science fundamentals and experience across the tech stack.</li><li>
Experience with proprietary or open-source LLMs (e.g., Gemini, Claude, OpenAI) and deploying LLM-powered applications to production.</li><li>
Commitment to quality&mdash;driving high standards and writing tests at all levels.</li><li>
Experience writing and running evaluations for quality and consistency in LLM-generated output.</li><li>
Strong written and verbal communication skills to clearly convey ideas and feedback.</li><li>
Mentoring junior engineers and supporting their technical growth through code reviews and guidance.</li><li>
Mindset of continuous learning and improvement.</li><li>
Ability to solve complex problems with ambiguous or incomplete data in distributed systems.</li><li>
Demonstrated business domain knowledge relevant to previous products.</li><li>
Curiosity about new technologies and processes, proactively sharing knowledge and seeking improvement.</li><li>
Experience with Python and front-end development preferred but not required.</li><li>
Master&rsquo;s or advanced degree in Computer Science or related field.</li></ul><div>
In addition to the salary range, this role is eligible for bonus or incentive opportunities.</div><div><h2 class="jobSectionHeader"> 
What&rsquo;s in it for you</h2>
At Schwab, you&rsquo;re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration&mdash;so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you &ndash; both today and in the future:<ul><li>
401(k) with company match and Employee stock purchase plan</li><li>
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions</li><li>
Paid parental leave and family building benefits</li><li>
Tuition reimbursement</li><li>
Health, dental, and vision insurance</li></ul></div></div>

Sr. AI Engineer, AI.x

The Home Depot

<div><div>Position Purpose:
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. 
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. 
Key Responsibilities:<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> 
Direct Manager/Direct Reports:<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> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<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> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<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> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<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>
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 https://careers.homedepot.com/our-benefits.</div> 
Apply End Date: 05/11/2026</div>

Staff Machine Learning Engineer – Generative AI (Remote)

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; New York, NY, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience. 
</li>
<li>2 years of experience programming in Python or C++. 
</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
<li>Experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields. 
</li>
<li>2 years of experience with data structures or algorithms.</li>
<li>Experience developing accessible technologies. 
</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

AI will change the future of work in profound ways, and our products&mdash; Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world. 

The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Write product or system development code. 
</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,) 
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. 
</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. 
</li>
<li>Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements. 
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer III, AI/ML GenAI, Google Workspace

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
At CVS Health, our purpose is to deliver better health outcomes by meeting consumers where they are&mdash;through local care, digital experiences, and a nationwide team committed to quality, safety, and affordability.
Our Solutions Engineering and Infrastructure organization is building an enterprise AI/ML capability that delivers reliable, responsible, and secure AI-powered platforms and solutions at Fortune 5 scale, and this role is foundational to help us develop that capability.
This is an experienced individual-contributor role focused on evaluating, documenting, building and scaling GenAI and AI-powered capabilities, contributing to solution design, implementation, and production support in partnership with business partners and senior technical leaders.
Key Responsibilities:
Solution Development &amp; Delivery<ul><li>
Implement AI-powered services and application features that integrate enterprise data and systems with LLMs and ML models.</li><li>
Contribute to solution design by proposing approaches, identifying dependencies, and documenting tradeoffs and implementation plans.</li><li>
Deliver features using strong engineering practices: test automation, code review, CI/CD, and operational readiness.</li></ul>
GenAI Engineering Practices<ul><li>
Build and tune RAG pipelines (retrieval, ranking, grounding) and implement prompt patterns that improve reliability and user experience.</li><li>
Contribute to evaluation suites and regression testing to ensure quality and safety over time.</li><li>
Implement guardrails and security controls (input/output validation, policy filtering, and data protection patterns) under guidance from senior engineers.</li></ul>
Reliability, Observability &amp; Support<ul><li>
Instrument services with metrics, traces, logs, and dashboards; participate in incident response and post-incident improvements.</li><li>
Support performance and cost optimization efforts (latency, throughput, caching, and model selection).</li><li>
Follow and reinforce platform standards for deployment, versioning, monitoring, and documentation.</li></ul>
Collaboration &amp; Continuous Improvement<ul><li>
Work closely with product, design, security, and platform teams to refine requirements and deliver customer-focused outcomes.</li><li>
Mentor engineers at earlier career stages and share practical learnings with the broader AI/ML community of practice.</li><li>
Stay current on GenAI and ML platform trends; propose incremental improvements that raise quality and accelerate delivery.</li></ul>
Required Qualifications<ul><li>
5+ years of software engineering experience delivering production systems, including modern APIs and application development.</li><li>
3+ years of experience applying ML/AI concepts in real systems; GenAI exposure (LLMs, RAG, evaluation) strongly preferred.</li><li>
3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.</li></ul>
Preferred Qualifications<ul><li>
Proficiency in backend engineering (APIs, services) and comfort contributing across the stack when needed.</li><li>
Working knowledge of LLM application development (prompting, RAG, tool calling) and evaluation practices.</li><li>
Experience with CI/CD, testing, containerization, and basic Kubernetes concepts.</li><li>
Strong debugging and operational skills; ability to improve reliability and performance based on telemetry and root cause analysis.</li><li>
Effective collaboration and communication skills across technical and non-technical stakeholders.</li></ul>
Education<ul><li>
Bachelor&rsquo;s degree or equivalent experience (High School Diploma and 4 years relevant experience)</li></ul>
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$83,430.00 - $222,480.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 03/26/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Senior Machine Learning Engineer - Generative AI & Full-Stack Applications

Search 6177+ Genai engineer jobs near you this March. New roles added regularly across leading industries. Apply today.

6177 genai engineer jobs Near Me

Generative AI Intern

Sr. AI Engineer, AI.x

Staff Machine Learning Engineer – Generative AI (Remote)

Software Engineer III, AI/ML GenAI, Google Workspace

Senior Machine Learning Engineer - Generative AI & Full-Stack Applications

Senior Machine Learning Engineer - Generative AI & Full-Stack Applications

Senior Machine Learning Engineer - Generative AI & Full-Stack Applications