Overview
Generative AI Forward Deployed Engineer Intern on Marvell's Enterprise Business Applications team, building multi-agent GenAI systems that automate core business processes, working embedded with business and engineering teams to take solutions from prototype to production.
What you'll do
- Build multi-agent GenAI systems that automate core business processes end-to-end across the marketing function.
- Design solutions using LLMs, agentic protocols (MCP, A2A), and RAG over real enterprise data.
- Apply reasoning, planning, tool-use, and orchestration to make business systems act autonomously.
- Partner with business teams to find the highest-impact opportunities and turn them into shipped AI solutions.
- Research and benchmark state-of-the-art agent frameworks (LangChain, LangGraph, AutoGen, CrewAI, LlamaIndex).
- Prototype ambitious ideas and take the best ones to production at enterprise scale.
- Integrate intelligent agents securely into the systems that run the company.
- Measure real business impact and push the boundary of what automation can own.
What you'll need
- 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.
- 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.
Nice to have
- Familiarity with R or Java.
- Familiarity with marketing systems or business-process automation.
- Hands-on experience with RAG, agent orchestration, or agentic protocols (MCP, A2A).
Details
Read the full description and apply on the company’s own careers page.