7 days ago
Bengaluru, IndiaIntern
Responsibilities
- Build multi-agent Generative AI systems that automate core marketing and business processes end to end.
- Design solutions using LLMs, MCP, A2A, and RAG over enterprise data.
- Apply reasoning, planning, tool use, and orchestration to enable autonomous business systems.
- Partner with business teams to identify high-impact opportunities and deliver AI solutions.
- Research and benchmark agent frameworks including LangChain, LangGraph, AutoGen, CrewAI, and LlamaIndex.
- Prototype solutions and take selected ideas into production at enterprise scale.
- Integrate intelligent agents securely into enterprise systems 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 practices and Git version control.
- Strong problem-solving, collaboration, self-directed learning, and project-completion skills.
- Familiarity with marketing systems, business-process automation, RAG, agent orchestration, or agentic protocols such as MCP and A2A is preferred.
Benefits
- Competitive compensation and benefits are offered.
- Gain hands-on experience across the research, build, and deployment lifecycle for production-bound Generative AI solutions.
- Receive mentorship from experienced AI engineers and exposure to state-of-the-art AI frameworks, architectures, and models.
- Work in a collaborative, transparent, and inclusive environment with opportunities to make 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).