Design, implement, and maintain RESTful APIs Implement robust testing (unit/integration/e2e), performance tuning, and production diagnostics. Build agentic AI workflows using tools like GitHub Copilot and LLM platforms (e.g., Claude, Azure OpenAI, OpenAI API, etc.). Implement tool/function calling, prompt/chain orchestration (e.g., LangChain/LlamaIndex), evaluation, safety guardrails, and prompt/version management. Deliver RAG patterns using embeddings and vector databases (e.g., Pinecone, FAISS, Redis, Azure AI Search/OpenSearch) to ground models on enterprise data. Design and deploy services on Azure (App Services, Functions, Storage, API Management; Azure DevOps/GitHub Actions pipelines). Implement observability (logs, metrics, tracing with OpenTelemetry), rate limiting, retries, circuit breakers, and cost/latency monitoring. Participate in discovery workshops, align on requirements, and convert client needs into technical plans and release roadmaps.



2+ years building LLM-integrated or agentic AI features (tool/function calling, orchestration, guardrails, or evaluations). 3+ years with Python for AI scripting, data processing, or service integration (FastAPI/Flask/Django a plus). Agent frameworks (LangChain, LlamaIndex); embeddings; vector databases (Pinecone, FAISS, Redis, Azure AI Search). * Model lifecycle exposure: finetuning, adapters/LoRA, quantization, inference optimization, and secure deployment. Kubernetes, API Management, GitOps, and advanced observability/telemetry. * Mobile collaboration (React Native) or designing API contracts for native clients. * Familiarity with FastAPI/Django (Python) or NestJS (Node); experience with Java in highscale backends. Consulting background or experience delivering to regulated enterprises.

📌 Offshore Backend Eng #1 (Bengaluru)
🏢 Nameless
📍 Bengaluru