Job Summary

Location: Pune

Working Schedule: Full time

Work Arrangement: Hybrid

Description and Requirements
Design and implement production APIs and microservices in Python (FastAPI, async I/O).
Build agentic AI workflows and the surrounding harness with LangGraph/LangChain - tool calling, multi-step orchestration, context & memory management, retries, and guardrails.
Ship and operate production agents on frontier models (Claude, GPT, Gemini); optimize for latency, cost, and reliability.
Package, serve, version, and optimize ML/LLM models for low-latency and batch/async inference (MLflow/LangSmith or equivalent).
Implement LLM features: embeddings, retrieval-augmented generation (RAG), vector search, and prompt & context engineering.
Build resilient event-driven integrations (Event Hubs/Kafka patterns), idempotent consumers, and backfill/replay strategies.




Containerize services (Docker), author manifests/Helm charts, and debug Kubernetes (AKS) workloads.
Instrument services and models (logging, metrics, tracing), define SLOs, and lead incident triage and remediation.
Deliver automated tests and CI/CD for services and model pipelines; collaborate on release gating and security scans.
Partner with frontend (React/Next.js/TypeScript) to deliver end-to-end AI features.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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