12 hours ago
Bengaluru, IndiaIntern
Responsibilities
- Build multi-agent GenAI systems that automate enterprise business processes across ERP, CRM, and related systems.
- Design solutions using LLMs, MCP, A2A, RAG, reasoning, planning, tool use, and orchestration.
- Partner with business and engineering teams to identify opportunities and deliver production AI solutions.
- Research and benchmark agent frameworks including LangChain, LangGraph, AutoGen, CrewAI, and LlamaIndex.
- Prototype solutions, integrate intelligent agents securely, deploy them at enterprise scale, and measure business impact.
Requirements
- 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.
- Understanding of machine learning concepts, algorithms, and frameworks such as PyTorch and TensorFlow.
- Exposure to LLMs, Generative AI, or agentic frameworks through coursework, projects, or research.
- Familiarity with software engineering best practices and Git.
- Strong problem-solving, collaboration, self-direction, and ability to implement research papers and complete projects.
- Preferred qualifications include familiarity with enterprise systems, business-process automation, RAG, agent orchestration, MCP, A2A, AWS, APIs, and integration patterns.
Benefits
- Competitive compensation and benefits in a collaborative, transparent, and inclusive work environment.
- Hands-on experience with production-bound GenAI and agentic solutions across the full research, build, and deployment lifecycle.
- Exposure to advanced AI frameworks, architectures, and models, plus mentorship from experienced AI engineers and visible business impact.
About Marvell
Marvell designs and sells semiconductors for data infrastructure, including Ethernet switching and PHYs, optical and 5G connectivity, storage controllers, and custom compute silicon (ASICs/DPUs) used by cloud providers, telecom carriers, and enterprise OEMs. Its business model centers on selling chips and platform solutions and co-developing custom silicon with major customers. Founded in 1995 and headquartered in Santa Clara, it is a public company traded on NASDAQ (MRVL).