AI Platform Engineer@Swiggy
We are hiring engineers at Swiggy to make AI coding agents work in production.
The problem is not prompt quality alone.
The hard part is building the system around the model:
High-quality context pipelines
Retrieval and ranking over large codebases
Eval harnesses for accuracy and regressions
Tool orchestration and agent runtime reliability
Observability, latency, and cost controls
Codebase knowledge graphs that capture real architectural context
A big part of this work is building Swiggy’s codebase knowledge graph so agents can reason better about services, APIs, data flows, dependencies, and implementation patterns.
Good fit if you have experience in:
Backend or distributed systems
AI coding agents or developer tools
Retrieval, context engineering
Evals, benchmarking, and harness design
Static analysis, code intelligence, or graph-based systems
Building platforms that are simple, reliable, and production-grade
tal saysbuild production-grade ai coding agents, context pipelines, and codebase knowledge graphs at swiggy
engineering
Bangalore
public
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