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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 ...

Photon

Senior Agentic AI Engineer (Python)

Boston, MA · On-site

$132K - $177K/yr

Senior Agentic AI Engineer (Python) Boston, MA - Onsite Primary Objective We are seeking a Senior ... The role focuses on Generative AI, LLMs, agentic workflows, RAG architectures, AI orchestration ...

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 ...

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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:

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

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

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 11% Internship, 78% Full Time, and 11% Part Time. Highlights an 100% In-person job distribution.

Agentic AI & Generative AI Engineer

Career Soft Solutions Inc

Boston, MA • On-site

$105K - $145K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Agentic AI & Generative AI Engineer
Location: Onsite – Richardson,TX/ charlotte, NC
Employment Type: Full-Time / Contract

Job Summary

We are seeking an experienced Agentic AI & Generative AI Engineer to design, develop, and deploy next-generation AI applications powered by Large Language Models (LLMs), autonomous AI agents, and modern AI frameworks. The ideal candidate will have hands-on experience building intelligent AI systems using OpenAI, Anthropic, Gemini, Llama, LangChain, LangGraph, CrewAI, AutoGen, and Retrieval-Augmented Generation (RAG) architectures.

This role involves developing AI agents capable of reasoning, planning, tool usage, memory management, and workflow automation while integrating enterprise data sources and cloud infrastructure.

Key Responsibilities

  • Design, build, and deploy Agentic AI solutions capable of autonomous decision-making and multi-step reasoning.
  • Develop Generative AI applications using Large Language Models (LLMs) such as GPT-4/5, Claude, Gemini, and Llama.
  • Build multi-agent systems using frameworks like LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar.
  • Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge repositories.
  • Develop AI copilots, intelligent assistants, chatbots, and workflow automation solutions.
  • Integrate AI applications with REST APIs, enterprise applications, databases, and cloud services.
  • Fine-tune prompt engineering strategies to improve response quality, reasoning, and accuracy.
  • Design agent memory, planning, orchestration, and tool-calling capabilities.
  • Deploy AI workloads on Azure, AWS, or Google Cloud using containerized architectures.
  • Optimize inference performance, latency, scalability, and cost.
  • Implement AI governance, security, responsible AI, and compliance best practices.
  • Monitor model performance and continuously improve AI systems using user feedback and evaluation metrics.
  • Collaborate with product owners, architects, data scientists, and software engineers throughout the AI development lifecycle.

Required Qualifications

  • Bachelor''''''''s or Master''''''''s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • 5+ years of software engineering experience.
  • 2+ years of hands-on experience building Generative AI or LLM-powered applications.
  • Strong programming skills in Python.
  • Experience with OpenAI, Anthropic Claude, Gemini, Llama, or other foundation models.
  • Strong understanding of Prompt Engineering and LLM optimization.
  • Experience building RAG applications.
  • Experience with Vector Databases such as Pinecone, Weaviate, Chroma, FAISS, Milvus, or Azure AI Search.
  • Experience with LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel.
  • Knowledge of embeddings, chunking, semantic search, and retrieval optimization.
  • Experience integrating AI solutions with REST APIs and enterprise applications.
  • Strong understanding of Docker, Kubernetes, CI/CD pipelines, and Git.
  • Experience deploying AI solutions on Azure, AWS, or Google Cloud.

Preferred Qualifications

  • Experience fine-tuning open-source LLMs.
  • Knowledge of Model Context Protocol (MCP).
  • Experience with AI agent orchestration platforms.
  • Familiarity with AI observability tools such as LangSmith, Phoenix, Weights & Biases, or MLflow.
  • Experience with Azure AI Foundry, Azure OpenAI, Amazon Bedrock, or Google Vertex AI.
  • Knowledge of knowledge graphs and graph databases (Neo4j).
  • Experience implementing Responsible AI and AI governance frameworks.
  • Experience working with structured and unstructured enterprise data.

Technical Skills

Programming

  • Python
  • SQL
  • JavaScript (preferred)

AI/LLMs

  • OpenAI GPT
  • Anthropic Claude
  • Google Gemini
  • Meta Llama
  • Mistral
  • Hugging Face Transformers

Agentic AI Frameworks

  • LangGraph
  • CrewAI
  • AutoGen
  • Semantic Kernel
  • OpenAI Agents SDK

RAG & Retrieval

  • LangChain
  • LlamaIndex
  • Azure AI Search
  • Pinecone
  • Weaviate
  • Chroma
  • FAISS
  • Milvus

Cloud Platforms

  • Microsoft Azure
  • AWS
  • Google Cloud Platform

DevOps

  • Docker
  • Kubernetes
  • GitHub Actions
  • Azure DevOps
  • Jenkins
  • Terraform

Databases

  • PostgreSQL
  • MongoDB
  • Redis
  • Neo4j

APIs & Integration

  • REST APIs
  • GraphQL
  • MCP
  • Webhooks

Observability

  • LangSmith
  • MLflow
  • Weights & Biases
  • OpenTelemetry

Nice-to-Have Skills

  • AI workflow automation
  • Multi-agent orchestration
  • Human-in-the-loop systems
  • Reinforcement learning concepts
  • AI safety and governance
  • Prompt optimization and evaluation
  • Knowledge graph integration
  • AI-powered business process automation

Soft Skills

  • Strong analytical and problem-solving skills.

Apply