Senior Software Engineer – AI Infrastructure Solutions
NVIDIA · Pune
| Company | NVIDIA |
|---|---|
| Role | Senior Software Engineer – AI Infrastructure Solutions |
| Location | Pune |
| Work mode | On-site |
| Experience | 3–6 years |
| Job type | Full-time |
About this job
NVIDIA is hiring a Senior Software Engineer in Pune for its AI Infrastructure Solutions team, which builds the platforms behind LLM applications and autonomous agents used across the company.
You will build agentic AI workflows (tool calling, memory, RAG, multi-agent orchestration) with frameworks such as LangChain or LangGraph, serve LLMs through APIs, deploy on Docker and Kubernetes, and own L3 support. The posting asks for 5+ years of software engineering, including 2+ years on AI/LLM solutions.
Eligibility
- 5+ years of software engineering, 2+ on AI/LLM solutions
- Agentic AI: tool use, multi-agent orchestration, RAG
- Strong Python; C#/.NET is a plus
- Docker and Kubernetes in production
Skills required
What you will do
- Build AI infrastructure for LLM apps and agents
- Develop multi-agent workflows with RAG
- Serve and tune LLM endpoints
- Own production readiness and L3 support
How to apply
- Open the official job page using the button below and read the full description
- Tailor your resume to the skills listed here and apply directly on the company's careers site
Before the interview, prepare:
- Design a RAG pipeline: chunking, embeddings, retrieval, evaluation
- Agent tool calling and failure handling
- Serving LLMs: latency, throughput, cost
- Kubernetes deployment of a GPU workload
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