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Generative Ai Engineer Jobs in Massachusetts (NOW HIRING)

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 ...

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 ...

Lorvenk Technologies LLC

AI Engineer

Boston, MA · On-site

Senior AI Engineer We are seeking a highly skilled AI Engineer to design and build Generative and Agentic AI systems that transform how our company operates and serves customers. This role focuses on ...

Dechert LLP

AI Engineer - Boston

Boston, MA · On-site

$140 - $175/hr

Experience with Generative AI, Model Context Protocol (MCP), Azure/OpenAI, Large Language Model (LLM), Claude, Microsoft CoPilot, prompt engineering, retrieval-augmented generation, embeddings ...

MassMutual

AI Engineer

Springfield, MA · Hybrid

$141K - $185K/yr

AI Engineer | Data Science & AI Engineering Full-Time Hybrid (3 days/per week in office) The ... You'll apply machine learning, generative and agentic AI, and LLM-based techniques to real-world ...

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All JobsGenerative Ai Engineer JobsGenerative Ai Engineer Jobs in Massachusetts

Generative Ai Engineer information

See Massachusetts salary details

$41.5K

$126.5K

$209.1K

How much do generative ai engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for generative ai engineer in Massachusetts is $126,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,600.00 and $165,500.00 per year, depending on experience, location, and employer.

What is a generative AI engineer?

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 does a generative AI engineer do?

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.

What are the key skills and qualifications needed to thrive as a generative AI engineer?

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.

How do I become a generative AI engineer?

To become a generative AI engineer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of deep learning models such as GANs or transformers. Gaining expertise through relevant coursework, online tutorials, and hands-on projects is essential, along with understanding data preprocessing and model evaluation. Building a portfolio of AI projects and staying updated with the latest research can also improve job prospects in this field.

What is the salary of a generative AI engineer?

The salary of a generative AI engineer typically ranges from $100,000 to $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and machine learning frameworks may earn higher compensation, often including bonuses and stock options.

What are the most commonly searched types of Generative Ai Engineer jobs in Massachusetts?

The most popular types of Generative Ai Engineer jobs in Massachusetts are:

What are popular job titles related to Generative Ai Engineer jobs in Massachusetts?

For Generative Ai Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Generative Ai Engineer jobs in Massachusetts look for?

The top searched job categories for Generative Ai Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Generative Ai Engineer jobs?

Cities in Massachusetts with the most Generative Ai Engineer job openings:

Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 6% Internship, 82% Full Time, 6% Part Time, and 6% Contract. Highlights an 77% In-person, 6% Hybrid, and 17% Remote job distribution, with an average salary of $126,538 per year, or $60.8 per hour.

Senior AI Engineer (Generative AI & Agentic Systems)

Pan.bio

Boston, MA • On-site

$180 - $260/hr

Other

Posted 5 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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