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Generative Ai Engineer Jobs (NOW HIRING)

OpenDataJobs

Senior Generative AI Engineer

Potomac, MD · On-site +1

$57.25 - $73.75/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI engineering support for a major federal agency. The role centers on developing cloud-native ...

OpenDataJobs

Senior Generative AI Engineer

Washington, DC · On-site +1

$62.50 - $80.75/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI engineering support for a major federal agency. The role centers on developing cloud-native ...

OpenDataJobs

Senior Generative AI Engineer

Potomac, MD · Remote

$56.50 - $73/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI engineering support for a major federal agency. The role centers on developing cloud-native ...

Purple Drive

Generative AI Engineer

Austin, TX · On-site

... Python programming. Design and develop algorithms for generative models using deep learning ... Experience in deploying AI models into production environments.

New

Figure

Helix AI Engineer, Generative AI

San Jose, CA · On-site

We are looking for a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. This role focuses on ...

Figure

Helix AI Engineer, Generative AI

San Jose, CA · On-site

We are looking for a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. This role focuses on ...

Dataiku

Generative AI Engineer

Manhattan, NY · On-site +1

As a Generative AI Engineer on the ED&A team, you will build the agentic AI systems that change how Dataiku runs internally. The role is hands-on and end-to-end: you'll work close to the business ...

Dataiku

Generative AI Engineer

New York, NY · On-site

As a Generative AI Engineer on the ED&A team, you will build the agentic AI systems that change how Dataiku runs internally. The role is hands-on and end-to-end: you'll work close to the business ...

Dataiku

Generative AI Engineer

Manhattan, NY · On-site +1

As a Generative AI Engineer on the ED&A team, you will build the agentic AI systems that change how Dataiku runs internally. The role is hands-on and end-to-end: you'll work close to the business ...

ClifyX

AI Engineer

Chicago, IL · On-site

Hands on experience with Generative AI / LLMs, including RAG, embeddings, prompt engineering, and agents * Solid understanding of data engineering concepts, SQL/NoSQL, and feature pipelines

Chima Inc

AI Engineer

San Francisco, CA · On-site

Generative Ai Engineer Chima is seeking highly skilled generative AI engineers to join our team. As an AI application engineer, you will be responsible for designing, developing, and deploying ...

Equifax, Inc.

Generative AI Engineer

Atlanta, GA · On-site

Provide guidance and mentorship to junior data engineers. * Review dataset implementations ... Exposure in Vertex AI, GCP AI/ML services (AutoML, BigQuery ML, Cloud Run, etc.) or a similar cloud ...

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Generative Ai Engineer information

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$115.9K

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How much do generative ai engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for generative ai engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What is a Generative AI Engineer job?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What are the key skills and qualifications needed to thrive in the Generative Ai Engineer position, and why are they important?

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

What are the typical projects or responsibilities for a Generative AI Engineer?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.
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Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in the United States as of May 2026, with employment types broken down into 72% Full Time, 25% Part Time, and 3% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Senior Generative AI Engineer

OpenDataJobs

Potomac, MD • On-site, Remote

$57.25 - $73.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Job description

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI engineering support for a major federal agency. The role centers on developing cloud-native generative AI solutions and intelligent data pipelines on AWS, spanning intelligent document processing, computer vision, and related AI / ML domains.
The ideal candidate is energized and motivated with an extreme commitment to delivery and transformational change through the use of AI. They will think about generative AI in two dimensions: as a tool that makes them and their team dramatically faster, and as a core component of the intelligent systems they build. They understand that deploying an LLM inside a production workflow is a fundamentally different engineering challenge than using one to write a function, and they have done both. They take initiative without being asked and want ownership of the firm's trajectory, not just their deliverables.
Our client is a Benefit corporation - legally committed to creating measurable social value alongside business performance. They offer mission-driven, technically challenging work on complex federal initiatives, paired with direct client access, real ownership of your work product, and a culture that rewards initiative.
Responsibilities
Client Delivery:
  • Design and deploy production-grade Agentic AI systems where LLMs serve as operational components to reason, explain, and make decisions within live workflows
  • Architect intelligent pipelines combining classical tools (OCR, fuzzy matching, structured query) with LLM-based validation, confidence scoring, fallback logic, and automated logging for auditability and continuous improvement
  • Translate ambiguous mission requirements into well-scoped AI system designs; apply prompt and context engineering, RAG, semantic search, and fine-tuning as appropriate; leverage AWS services including Bedrock, Textract, Lambda, and Step Functions
  • Use generative AI tooling to accelerate the full development lifecycle: requirements analysis, code generation, test coverage, documentation, and deployment scaffolding
  • Document and quality-assure all project work prior to client delivery; attend meetings with agency staff, vendors, and external stakeholders as needed

Firm Development:
  • Lead or contribute to business development, internal tool-building, mentorship, or publication to strengthen the firm's AI capabilities and market position

Requirements
Core Technologies:
  • AWS Certification required: Certified AI Practitioner, or relevant AWS Associate, Specialist, or Professional-level certification
  • Hands-on proficiency with AWS tools such as Amazon Bedrock, Textract, Step Functions, Lambda, Glue, CloudFormation, CDK, Cognito and related AWS services
  • Python fluency including LangChain and AWS Strands; experience with vector databases and embedding workflows
  • Experience with Model Context Protocol (MCP) to connect LLMs to external tools, APIs, and data sources; ability to design and implement MCP servers and clients in production architectures
  • Advanced SQL, cloud-native data pipeline management, and ETL workflows

Domain Expertise & Professional Skills:
  • Expert knowledge of LLM behavior, confidence calibration, evaluation, and responsible AI principles. Knowledge includes explainability, auditability, and governance in regulated environments
  • Experience with DevSecOps and MLOps: GitHub, CloudFormation, and related tools for version control, CI/CD, pipeline deployments, system and model monitoring, and drift detection
  • Domain knowledge of federal data environments, government IT modernization, or public sector AI adoption
  • Excellent written and oral communication skills; proven collaborator in professional or academic settings

Professional Experience:
  • Bachelor's required, advanced degree preferred; Computer Science, Data Science, AI, Applied Mathematics, Statistics, or related quantitative field strongly preferred
  • 8+ years in software development, ML engineering, or data science; background in computer science or related technical and/or quantitative fields
  • Multi-modal AI experience (vision, document understanding, structured extraction)
  • Prior consulting, or client-services experience strongly preferred
  • Open-source contributions or published GenAI research preferred
  • Familiarity with OMB AI guidance and the NIST AI Risk Management Framework preferred
  • U.S. citizenship; ability to obtain a Public Trust suitability determination required

Benefits
Our client offers a comprehensive and competitive benefits package, including:
  • Full health coverage (medical, dental, and vision) with 100% of employee premiums covered
  • Life and disability insurance, fully covered by the company
  • 401(k) retirement plan with 100% match on contributions up to 4% of salary with immediate vesting
  • Unlimited Paid Time Off (PTO) to encourage work-life balance
  • Remote location but greater Washington, DC area preferred for hybrid engagement
  • Sponsored AWS certification training

Our client is an equal opportunity employer.

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