Senior Software Engineer, AI Infrastructure Solutions

About the role

This is your opportunity to work on groundbreaking technologies and help build the future of computing! If you’re passionate about building scalable AI platforms and autonomous agent solutions that impact industries worldwide, we want to hear from you!

What you'll do

• Design, build, and operate AI infrastructure solutions that power LLM-based applications and autonomous agents across the enterprise
• Develop agentic AI workflows and multi-agent systems, including tool calling, planning, memory, retrieval-augmented generation (RAG)
• Integrate and serve LLMs through APIs and inference endpoints, optimizing for latency, throughput, cost, and reliability
• Containerize applications with Docker and deploy and scale them on Kubernetes, including Helm charts, autoscaling, and GPU-enabled workloads
• Take applications to L3 level: own production readiness, advanced troubleshooting, root-cause analysis, performance tuning

What you need

• 5–9 years in software engineering
• REST APIs
• Python
• Git
• .NET
• Docker
• Kubernetes
• B.Tech or B.E. or B.Sc or BCA

Good to have

• C#
• LLMs
• CI/CD
• Root cause analysis
• Prompt engineering
• Helm

What you get