Generative AI Forward Deployed Engineer Intern- Master's Degree
At a glance
Junior AI Engineering role at Marvell (MarvellCareers2). Bangalore · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Create multi-agent GenAI tools that handle marketing processes from beginning to end
- Build with LLMs, agent protocols and retrieval methods using real enterprise information
- Use planning, reasoning and tool calls to let business applications complete tasks independently
- Work with business teams to spot valuable use cases and deliver AI solutions
- Evaluate agent frameworks, then advance selected prototypes into secure production systems
What you bring
- You are studying toward a master's or dual degree in computer science, data science, AI or a related area
- You program in Python and understand machine learning methods, algorithms and frameworks
- You have explored generative AI, LLMs or agent frameworks in coursework, projects or research
- You understand software engineering practices, including Git for version control
Who this fits
This internship suits a master's student interested in taking AI projects from research and prototypes through deployment, working with business and engineering teams. The role is based in Bangalore. Access to export-controlled material is subject to eligibility under applicable rules, and some applicants may undergo an export license review.
From the employer
About Marvell
Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.
At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.
Your Team, Your Impact
The Group behind Marvell's G&A functions — the systems that keep HR, Legal, and Marketing running. We own and evolve the platforms these functions rely on, including Workday, legal technology, and our marketing and web platforms, and we also lead IT for Singapore and the broader APAC region. Working closely with our business partners, we deliver reliable, secure, and modern systems — and we're increasingly bringing automation and AI into how G&A operates. It's a chance to work at the intersection of technology and the business, with real impact across a global organization.What You Can Expect
About the Role
As a Generative AI Forward Deployed Engineer Intern with Marvell's Enterprise Business Applications team, you'll reinvent how a global enterprise runs — using Generative AI and multi-agent automation to make the core systems behind finance, supply chain, HR, and sales think and act for themselves. You'll work embedded with business and engineering teams, taking solutions from prototype to production.
What You'll Do
- Build multi-agent GenAI systems that automate core business processes end-to-end across 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 We're Looking For
What You'll Bring
- 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.
Nice to Have
- Familiarity with marketing systems or business-process automation.
- Hands-on experience with RAG, agent orchestration, or agentic protocols (MCP, A2A).
What You'll Gain
- 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.
Additional Compensation and Benefit Elements
With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity. We’re dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us. For additional information on what it’s like to work at Marvell, visit our Careers page.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
Interview Integrity
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.