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Generative Ai Engineer Internship Jobs in Fall River, MA

AI Engineer

Mansfield, MA · On-site

$190 - $210/hr

Our engineering teams build enterprise-grade, revenue-generating products at the intersection of ... Serve as Subject Matter Expert in Generative AI, agentic systems, and applied Machine Learning

New

Software Engineer I

Johnston, RI · On-site

$90 - $130/hr

Internship, research, academic, or personal project experience developing software applications ... Coursework or hands‑on experience with machine learning, generative AI, or large language models ...

New

Internship, research, academic, or personal project experience developing software applications ... Coursework or hands-on experience with machine learning, generative AI, or large language models is ...

Strong programming skills in Python and SQL are required, along with hands-on experience with LLMs, generative AI, or conversational AI frameworks such as LangChain or RAG. Familiarity with version ...

New

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Generative Ai Engineer Internship information

See Fall River, MA salary details

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

As of Aug 21, 2026, the average hourly pay for generative ai engineer internship in Fall River, MA is $19.39, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $21.01 per hour, depending on experience, location, and employer.

What is a generative AI engineer internship?

A Generative AI Engineer Internship is a temporary position where interns work on developing and optimizing AI models that generate content, such as text, images, or code. Interns typically assist in training, fine-tuning, and testing deep learning models, often using frameworks like TensorFlow or PyTorch. They may also work with large datasets, implement prompt engineering, and collaborate with researchers or engineers. This role provides hands-on experience in machine learning, model deployment, and AI ethics, helping interns build expertise in the field.

What kinds of projects or tasks do generative AI engineer interns typically work on during their internship?

Generative AI Engineer Interns usually contribute to projects involving model architecture development, data preprocessing, and evaluation of generative algorithms for tasks like text, image, or audio synthesis. Interns often collaborate closely with senior engineers and data scientists, participate in code reviews, and assist in optimizing model performance or preparing proofs of concept for new generative applications. You may also be involved in researching state-of-the-art methods and presenting your findings to the team. These experiences offer valuable hands-on exposure and are designed to prepare you for a future full-time role in AI engineering.

What are the key skills and qualifications needed to thrive in the generative AI engineer internship position, and why are they important?

To thrive as a Generative AI Engineer Intern, you need a solid understanding of machine learning fundamentals, deep learning frameworks, and experience with programming languages such as Python. Familiarity with tools like TensorFlow, PyTorch, and version control systems is often expected, and relevant coursework or certifications in AI or data science are advantageous. Strong problem-solving abilities, communication skills, and eagerness to learn help distinguish top candidates in collaborative, fast-paced environments. These skills are vital for effectively developing, testing, and iterating on generative models that address real-world challenges.

What are popular job titles related to Generative Ai Engineer Internship jobs in Fall River, MA?

For Generative Ai Engineer Internship jobs in Fall River, MA, the most frequently searched job titles are:

What job categories do people searching Generative Ai Engineer Internship jobs in Fall River, MA look for?

The top searched job categories for Generative Ai Engineer Internship jobs in Fall River, MA are:

What cities near Fall River, MA are hiring for Generative Ai Engineer Internship jobs?

Cities near Fall River, MA with the most Generative Ai Engineer Internship job openings:

Infographic showing various Generative Ai Engineer Internship job openings in Fall River, MA as of August 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 100% In-person job distribution, with an average salary of $40,329 per year, or $19.4 per hour.

AI Engineer

Socket.dev

Mansfield, MA • On-site

$190 - $210/hr

Other

Posted 3 days ago

New


Job description

eClinical Solutions is transforming clinical development with elluminate®, our Clinical Data Cloud, helping life sciences organizations unify, analyze, and unlock the value of their data faster than ever before. By combining a modern cloud platform with expert data services, we empower smarter decisions across the clinical trial lifecycle—accelerating innovation that ultimately improves patient outcomes.

Our engineering teams build enterprise-grade, revenue-generating products at the intersection of cloud, data, analytics, and emerging AI technologies. If you’re excited about building sophisticated software that makes a real-world impact on healthcare, this is the place to do it.

You will make an impact

The Principal AI Engineer is primarily responsible for the design, implementation, and support of AI-powered and agentic capabilities embedded in the company’s elluminate software platform. These capabilities facilitate our clients’ work on clinical trials. The Principal AI Engineer will need strong analytical and technical skills to design and build production-grade solutions using Large Language Models (LLMs), agentic frameworks, and modern Deep Learning (DL) and Machine Learning (ML) techniques in close collaboration with the company’s business clients. In addition, the candidate must serve as a Subject Matter Expert on the application of LLMs, agentic AI, and DL/ML to healthcare structured and unstructured data, both internally and with the company’s partners and clients.

Your day to day
  • Actively works with product and engineering to design and build breakthrough AI-powered and agentic capabilities for our clients using LLMs, agentic workflows, and modern DL/ML techniques
  • Design, prototype, develop, and test LLM-powered applications, agentic workflows, and predictive models using Python and modern AI frameworks to power critical product capabilities
  • Work with both structured and unstructured clinical trial data, including patient reports, trial documentation, and free text notes
  • Ideate, design, prototype, and develop solutions such as multi-agent workflows, RAG-based applications, document intelligence and summarization pipelines, and intelligent process automation
  • Design, prototype, and develop solutions using modern AI frameworks and libraries such as LangChain, LangGraph, LlamaIndex, PyTorch, Hugging Face Transformers, and scikit-learn
  • Champion AI-driven development practices across the team — using AI coding assistants and agentic dev tools to accelerate prototyping, code generation, testing, and review
  • Build and maintain LLM, agentic, and ML pipelines, including prompt engineering, orchestration logic, and evaluation harnesses
  • Apply relevant evaluation frameworks, guardrails, and statistical measures for performance, quality, and error analysis of AI systems
  • Drive the entire workflow of multiple AI engineering projects
  • Enhance the experience and efficiency of our elluminate software platform users
  • Work with our Engineering team to integrate AI capabilities into our elluminate software platform
  • Work with the MLOps/AIOps team to deploy LLM, agentic, and ML systems in production and to track performance, cost, and quality
  • Consult with and assist our software development and biometrics teams to consume the results of these AI systems
  • Ensure data quality throughout all stages of acquisition and processing
  • Serve as Subject Matter Expert in Generative AI, agentic systems, and applied Machine Learning
  • Keep up to date with the latest research and tooling in LLMs, agentic AI, and ML
  • Educate other team members in modern AI techniques and best practices
  • Publish and present work and contribute to company’s intellectual property
  • Other duties as assigned
Qualifications
  • Bachelor’s Degree in Computer Science, Engineering, Math, Physics, or a related field; Master’s or Doctorate degree preferred
  • Accomplished engineer with deep technical credibility and hands‑on implementation skills building LLM-powered applications, agentic workflows, and production AI systems; familiarity with modern Deep Learning and Machine Learning techniques (transformers, RAG, fine‑tuning, evaluation)
  • Extensive experience shipping production software in a healthcare or life‑sciences setting; comfortable working alongside clinicians and domain experts
  • In‑depth knowledge and experience working with healthcare and/or clinical trials data
  • Expert knowledge of Python and modern AI frameworks (LangChain, LangGraph, LlamaIndex, or equivalents); proficiency with API development, system integration, and at least one major cloud platform (AWS, Azure, or GCP)

Accelerate your skills and career within a fast‑growing company while impacting the future of healthcare. We have shared our story, now we look forward to learning yours!

eClinical Solutions is a people‑first organization. Our inclusive culture values the contribution that diversity brings to our business. We celebrate individual experiences that connect us and that inspire innovation in our community. Our team seeks out opportunities to learn, grow and continuously improve. Bring your authentic self, you are welcome here!

We are proud to be an equal‑opportunity employer that values diversity. Our management team is committed to the principle that employment decisions are based on qualifications, merit, culture fit and business need.

Pay Range: $190,000 – $210,000 USD

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