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Contract Generative Ai Engineer Jobs in Boston, MA

GEI Consultants

AI Engineer

Wakefield, MA · On-site

$110K - $150K/yr

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

GEI Consultants

AI Engineer

Wakefield, MA · On-site

$110K - $150K/yr

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

GEI Consultants

AI Engineer

Wakefield, MA · On-site

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

Lorvenk Technologies LLC

AI Engineer

Boston, MA · On-site

... Contract: W2/C2C This role focuses on developing AI applications powered by large language models ... Senior AI Engineer We are seeking a highly skilled AI Engineer to design and build Generative and ...

Photon

Senior Agentic AI Engineer (Python)_

Boston, MA · On-site

$132K - $177K/yr

Senior Agentic AI Engineer (Python) Experience: 5 10 years Location: Onsite / Offshore (Flexible ... The role focuses on Generative AI, LLMs, agentic workflows, RAG architectures, AI orchestration ...

Novia Infotech

NEED AI FULL STACK DEVELOPER

Boston, MA · On-site

Contract/FTE Location: Boston, MA | Hybrid / Remote JOB OVERVIEW We are seeking an experienced ... The ideal candidate will have strong hands-on experience with Generative AI, Azure AI services ...

Citizens

Sr Data Scientist- Generative AI

Westwood, MA · On-site

This role is ideal for an experienced data scientist with strong software engineering and machine learning skills, deep expertise in NLP and Generative AI, and experience developing AI solutions ...

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All JobsContract Generative Ai Engineer JobsContract Generative Ai Engineer Jobs in Boston, MA

Contract Generative Ai Engineer information

See Boston, MA salary details

$41.3K

$125.9K

$208K

How much do contract generative ai engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for contract generative ai engineer in Boston, MA is $125,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $164,600.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Generative Ai Engineer jobs in Boston, MA?

The most popular types of Generative Ai Engineer jobs in Boston, MA are:

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For Contract Generative Ai Engineer jobs in Boston, MA, the most frequently searched job titles are:

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What cities near Boston, MA are hiring for Contract Generative Ai Engineer jobs?

Cities near Boston, MA with the most Contract Generative Ai Engineer job openings:

Contract Generative Ai Engineer jobs near you
Infographic showing various Contract Generative Ai Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $125,875 per year, or $60.5 per hour.

Senior AI Engineer (Generative AI & Agentic Systems)

Pan.bio

Boston, MA • On-site

$180 - $260/hr

Other

Posted 7 days ago

Job description

Now Hiring Machine Learning AI Engineering Priority Hire

Senior AI Engineer (Generative AI & Agentic Systems)About Pan.Bio

Pan.Bio is building an AI-native platform that helps scientists and clinicians analyze complex biomedical data, automate research workflows, and accelerate discovery. Our products combine bioinformatics, cloud computing, and Generative AI to transform how researchers interact with data, knowledge, and scientific workflows.

We are looking for a Senior AI Engineer with strong machine learning and data science fundamentals to help build the next generation of AI-powered capabilities across our platform.

What You'll Do
  • Design, build, and deploy production-grade AI systems and intelligent applications.
  • Develop AI agents, agent skills, MCP integrations, RAG systems, and workflow automation solutions.
  • Build reusable AI capabilities that can be shared across products and use cases.
  • Evaluate, monitor, and improve AI systems using rigorous experimentation and data-driven decision making.
  • Collaborate closely with software engineers, bioinformaticians, and product teams to solve real-world scientific and healthcare challenges.
  • Stay current with advances in Generative AI and help shape our technical roadmap.
What We're Looking For
  • 4+ years of experience in AI/ML Engineering, Data Science, Applied AI, or a related field.
  • Strong foundation in machine learning, statistics, experimentation, and data analysis.
  • Strong Python programming and software engineering skills.
  • Experience building and deploying production AI/ML systems in cloud environments (GCP preferred).
  • Hands-on experience with LLMs, reasoning models, tool calling, structured outputs, context engineering, and AI evaluation.
  • Experience building agentic AI systems, including AI agents, agent skills, MCP integrations, RAG, and workflow automation.
  • Familiarity with the full ML lifecycle, from experimentation and evaluation to deployment and monitoring.
  • Ability to thrive in a fast-paced startup environment with high ownership and autonomy.
Nice to Have

Not blockers, but they'll make your application stand out.

  • Experience with multi-agent systems, agent orchestration, or AI platform engineering.
  • Experience with AI observability, guardrails, and governance.
  • Experience with Docker, Kubernetes, MLOps, and CI/CD.
  • Background in bioinformatics, genomics, healthcare, life sciences, or scientific computing.
Why Join Pan.Bio?
  • Build cutting-edge AI products at the intersection of Generative AI and life sciences.
  • Work on challenging problems with real-world scientific and healthcare impact.
  • Join a small, experienced team with significant ownership and influence over product direction.
  • Help shape the future of AI-powered scientific discovery.
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