AI Developer

Staff Engineer - AI

Location: Bangalore

Team: Technology & Product

The Role

You'll own the engineering behind Shadow. It needs to understand what a fan wants, find the right events, hold a good conversation, and keep fans coming back. You'll design the architecture, write a lot of the code yourself, and set up the evals and monitoring that tell us whether it's actually working.

What You'll Do

• Design and build the agent end to end: orchestration, tool calling, multi-turn state and memory, retrieval, and guardrails
• Build the core loop: understand intent, find the right events, and help fans book when they're ready
• Handle the messy parts of conversation: multilingual queries, session handoffs, and recovering well when the agent gets it wrong
• Define what "good" looks like for each capability, build eval sets from real sessions, and use them to decide what ships
• Set up tracing and debugging so bad responses can be traced back to a prompt, a tool, retrieval, or code
• Choose models and architecture based on latency, quality, and cost — including knowing when a smaller model or a simple rule does the job
• Raise the quality of engineering around you through reviews and example
• Work with product and leadership on what Shadow does next

What We're Looking For

• 7+ years of software engineering experience, with at least 1+ year on agentic systems
• You've shipped an agent that takes actions, not just one that answers questions
• Hands-on with the current stack: model APIs, orchestration, RAG, structured outputs, and multi-turn state
• You can explain how you measured whether something you shipped actually worked
• Strong backend skills in Python and/or TypeScript
• You think about latency, cost, prompt versioning, and what happens when things fail
• You've taken ambiguous projects from start to finish
• You use AI tools well in your own work and know where they fall short

Nice to Have

• LLM observability tools (Langfuse, LangSmith, Datadog LLM Observability)
• Payments, ticketing, or marketplace experience in India
• Fine-tuning or serving open-weight models
• Familiarity with our stack: Next.js, Go, AWS, Cloudflare