01Overview
*Nice software* no Hyderabad Candidates
*We will need the UAN and BGV.*
*Job Description: LLM Engineer*
*Experience: 4+ years*
Budget: 80K
*About the Role*
We're looking for an LLM Engineer to build, deploy, and scale production-grade Generative AI systems : spanning agentic workflows, RAG pipelines, evaluation, and backend infrastructure. This role is deployment- and infrastructure-heavy, focused on serving LLM and agentic applications reliably at scale while keeping quality, cost, and latency in check.
Key Responsibilities
Agentic Systems
Build agent workflows using frameworks such as LangGraph, CrewAI, AutoGen, or the OpenAI Agents SDK
Implement function calling and tool use so agents can reliably invoke APIs, databases, and internal services
Use MCP (Model Context Protocol) or similar standards to connect agents to external tools and data sources in a consistent, maintainable way
Add guardrails and fallback handling to keep multi-step agent behavior predictable and safe in production
Retrieval-Augmented Generation (RAG)
Build and tune RAG pipelines, including chunking strategy, embedding model selection, and re-ranking
Deploy, scale, and evaluate vector databases such as Pinecone, Qdrant, FAISS, pgvector, ChromaDB, Milvus, or Azure AI Search for high-volume retrieval
Diagnose hallucinations and weak answers by tracing them back to retrieval issues rather than treating every problem as a prompting issue
Compensation: 80,000.00 - 100,000.00 per month
Work Location: Remote .
