What You'll Do

- Design and implement performance-critical algorithms and services in Rust (graph algorithms, optimization routines, simulation engines, data pipelines)

- Benchmark and profile Rust implementations against alternatives (e.g., Python) to validate performance gains at scale

- Build bindings/interfaces (FFI, PyO3, gRPC, REST) so Rust-based compute modules can be called from AI agent frameworks and orchestration layers

- Integrate Rust services with LLM-based systems feeding structured outputs into agents built with LangGraph/LangChain or similar frameworks

- Design APIs and data contracts between high-performance Rust backends and AI/agent orchestration layers

- Write clean, memory-secure, well-tested, production-grade Rust (ownership/borrowing discipline, no unsafe unless justified)

- Collaborate with AI/ML engineers to identify which workloads should live in Rust vs. Python vs. an LLM call, based on latency, cost, and correctness needs

- Contribute to CI/CD pipelines using modern DevOps tools for building, testing, and deploying Rust services in containerized environments

Required Skills

- Rust: 5+ years professional experience; strong grasp of ownership, lifetimes, traits, concurrency (async/tokio or similar)

- Algorithms & data structures:



comfortable implementing and optimizing graph algorithms (e.g., Dijkstra, A*), simulations, or numerical routines

- Python: working proficiency, enough to compare/benchmark against Rust implementations and integrate with AI/ML tooling

- AI/LLM integration experience: has built or integrated with agent frameworks (LangGraph, LangChain, or custom orchestration), or has hands-on experience calling LLM APIs (Claude, OpenAI, etc.) via SSE/streaming or batch

- APIs & interop: experience exposing Rust functionality via FFI, PyO3, gRPC, or REST/HTTP services

- Containerization: Docker experience; comfortable working in CI/CD pipelines

Nice to Have

- Experience with graph databases (Neo4j) or spatial/routing optimization problems

- Background in engineering, industrial, or infrastructure domains (EPC, energy, manufacturing)

- Background in engineering, industrial, infrastructure, manufacturing, logistics, or other optimization-heavy domains

- Exposure to cloud container orchestration platforms such as Kubernetes or managed cloud container services

- Experience with Supabase Edge Functions or similar serverless compute for lightweight AI-adjacent services

📌 Rust Developer - AI and Systems Engineering (Bengaluru)
🏢 EY
📍 Bengaluru