Role

This is not a Machine Learning or Data Science role.

It is a Backend + AI Infrastructure Engineer role responsible for:

- Building scalable backend services for AI applications.
- Integrating LLMs like OpenAI, Claude, Gemini, Bedrock, or vLLM into production.
- Building agentic AI workflows using LangGraph, LangChain, or similar frameworks.
- Designing asynchronous, event-driven systems using Kafka, RabbitMQ, WebSockets, or SSE.
- Handling retries, rate limiting, circuit breakers, and provider fallback when AI services fail.
- Optimizing AI performance using Redis caching and low-latency architectures.
- Building microservices that support high-concurrency production traffic (10,000+ concurrent users).
- Deploying and monitoring applications on AWS with Kubernetes, Docker, and observability tools like Grafana or Prometheus.





Mandatory Skill

- s3–5 years of backend engineering experience
- .Python (FastAPI/Django)
- .Production LLM integration (OpenAI, Claude, Gemini, Bedrock, vLLM, etc.)
- .Agentic AI (LangGraph, LangChain, Multi-Agent Systems)
- .Async/event-driven architecture (Kafka, RabbitMQ, SQS, WebSockets, SSE)
- .Redis caching
- .Microservices
- .High-concurrency, low-latency systems

**.

Positive to Ha**

- veKubernetes, Docker, AW
- S.Observability (Grafana, Datadog, Prometheus
- ).Fintech or payments experienc
- e.Startup experienc
- e.Experience breaking monoliths into microservice

s.

📌 Backend + AI (Bangalore Metropolitan Area)
🏢 Recro
📍 Bangalore Metropolitan Area