Generative AI Forward Deployed Engineer Intern-Enterprise Applications

Currently pursuing a B.Tech, M.Tech, or Dual Degree in Computer Science, Data Science, AI/ML, Mathematics, or a related field.

Strong programming skills in Python (familiarity with R or Java is a plus).

Solid understanding of machine learning concepts, algorithms, and frameworks (e.g., PyTorch, TensorFlow).

Exposure to LLMs, Generative AI, or agentic frameworks through coursework, projects, or research.

Familiarity with software engineering best practices, including version control (Git).

Strong problem-solving skills and the ability to work in a collaborative, fast-moving team.

A self-starter who can learn from research papers, implement them effectively, and drive projects to completion.

Familiarity with enterprise systems or business-process automation.

Hands-on experience with RAG, agent orchestration, or agentic protocols (MCP, A2A).

Exposure to cloud (AWS), APIs, and integration patterns.

The chance to work on real, production-bound GenAI and agentic solutions — not throwaway prototypes.

Hands-on experience across the full lifecycle — research, build, and deploy — in a professional environment.

Exposure to state-of-the-art AI frameworks, architectures, and models.

Mentorship from experienced AI engineers and the opportunity to make a visible business impact.

To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.

These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.

This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.