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Generative Ai Developer Jobs in Massachusetts (NOW HIRING)

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 ...

Novia Infotech

NEED AI FULL STACK DEVELOPER

Boston, MA · On-site

The ideal candidate will have strong hands-on experience with Generative AI, Azure AI services ... Implement prompt engineering, agent orchestration, and Generative AI capabilities using modern AI ...

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 ...

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 ...

The Hollister Group

AI Developer

Boston, MA · On-site

$70 - $110/hr

... and Generative AI frameworks. * Develop, fine-tune, and integrate models such as GPT-4-turbo ... Create and automate CI/CD pipelines using GitHub Actions, Azure DevOps, or AWS CodePipeline for ...

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 ...

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Generative Ai Developer information

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How much do generative ai developer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for generative ai developer in Massachusetts is $49.46, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $59.86 per hour, depending on experience, location, and employer.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

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

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

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

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

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

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

Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Massachusetts as of August 2026, with employment types broken down into 73% Full Time, 22% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $102,878 per year, or $49.5 per hour.

Senior AI Engineer (Generative AI & Agentic Systems)

Boston, MA • On-site

Pan.bio
See more jobs at Pan.bioexternal

$180 - $260/hr

Other

Posted 10 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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