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Generative Ai Engineer Intern Jobs in Massachusetts

GEI Consultants

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 ...

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 ...

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 ...

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 ...

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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Generative Ai Engineer Intern information

What does a generative AI engineer intern do?

A Generative AI Engineer Intern assists in developing and testing machine learning models, specifically those that can create new content such as text, images, or audio. They work with frameworks like TensorFlow or PyTorch, collaborate with senior engineers, and help improve the performance and reliability of generative AI systems. Interns may also be involved in data preprocessing, model evaluation, and keeping up with the latest research in artificial intelligence.

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

To thrive as a Generative AI Engineer Intern, you need a solid understanding of machine learning fundamentals, programming skills (especially in Python), and coursework or experience in artificial intelligence or computer science. Familiarity with deep learning frameworks like TensorFlow or PyTorch and version control systems such as Git is typically required, and relevant coursework or certifications in AI/ML are advantageous. Strong problem-solving skills, curiosity, and the ability to communicate complex ideas clearly help interns stand out. These skills and qualities are crucial for quickly learning advanced AI techniques, contributing to team projects, and driving innovation in a rapidly evolving field.

What types of projects can a generative AI engineer intern expect to work on during their internship?

As a Generative AI Engineer Intern, you can expect to work on projects involving the development, training, and evaluation of generative models such as GANs, VAEs, or transformer-based architectures. Typical tasks may include data preprocessing, model implementation, fine-tuning, and running experiments to improve model performance. Interns often collaborate closely with data scientists, software engineers, and research teams, gaining exposure to both research and application of AI in real-world products. This role provides hands-on experience with state-of-the-art tools and frameworks, offering a valuable foundation for a future career in AI engineering or research.

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

AspectGenerative Ai Engineer InternMachine Learning Engineer Intern
Required CredentialsBasic knowledge of AI, programming, and some coursework in machine learning or AIStrong foundation in machine learning, programming, and data analysis, often with coursework or certifications
Work EnvironmentTech companies, startups, research labs focusing on AI applicationsTech firms, research institutions, and companies applying machine learning models
Industry UsageDeveloping generative models like GPT, DALL·E, and similar AI toolsBuilding predictive models, data pipelines, and machine learning algorithms

While both roles involve AI and machine learning, a Generative Ai Engineer Intern focuses specifically on creating generative models like text, images, or audio, whereas a Machine Learning Engineer Intern works broadly on developing and deploying various machine learning algorithms across different applications.

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 Intern jobs in Massachusetts?

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

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

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

Generative Ai Engineer Intern jobs near you
Infographic showing various Generative Ai Engineer Intern job openings in Massachusetts as of August 2026, with employment types broken down into 12% Internship, 71% Full Time, and 17% Part Time. Highlights an 100% In-person job distribution.

Senior AI Engineer (Generative AI & Agentic Systems)

Boston, MA • On-site

Pan.bio
See more jobs at Pan.bioexternal

$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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