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Apprentice Generative Ai Engineer Jobs in Boston, MA

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 ...

AI Engineer

Wakefield, MA

$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 ...

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 ...

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 ...

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 ...

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 ...

AI Engineer

Boston, 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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Apprentice Generative Ai Engineer information

See Boston, MA salary details

$15

$19

$26

How much do apprentice generative ai engineer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for apprentice generative ai engineer in Boston, MA is $19.98, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $23.75 per hour, depending on experience, location, and employer.

What is the difference between Apprentice Generative Ai Engineer vs Junior Data Scientist?

AspectApprentice Generative Ai EngineerJunior Data Scientist
Required CredentialsBasic understanding of AI, programming, and machine learning fundamentalsBachelor's degree in Data Science, Computer Science, or related field
Work EnvironmentHands-on training in AI development teams, often in tech companies or startupsData analysis, modeling, and reporting in various industries
Employer & Industry UsageTech companies focusing on AI products, research labs, startupsFinance, healthcare, marketing, and other data-driven sectors

The Apprentice Generative Ai Engineer role is focused on gaining practical experience in AI development, often with mentorship, while a Junior Data Scientist typically handles data analysis and modeling tasks. Both roles require foundational knowledge, but the Apprentice role emphasizes learning and skill development in generative AI technologies.

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:

What are popular job titles related to Apprentice Generative Ai Engineer jobs in Boston, MA?

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

What job categories do people searching Apprentice Generative Ai Engineer jobs in Boston, MA look for?

The top searched job categories for Apprentice Generative Ai Engineer jobs in Boston, MA are:

Infographic showing various Apprentice Generative Ai Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $41,552 per year, or $20 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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