LLM Engineer_4+years

Primary Title : Senior LLM Engineer (4+ years) — Hybrid, India

About The Opportunity

A technology consulting firm operating at the intersection of Enterprise AI, Generative AI and Cloud Engineering seeks an experienced LLM-focused engineer. You will build and productionize LLM-powered products and integrations for enterprise customers across knowledge management, search, automation, and conversational AI use-cases. This is a hybrid role based in India for candidates with strong hands-on LLM engineering experience.

Role & Responsibilities

• Own design and implementation of end-to-end LLM solutions : data ingestion → retrieval (RAG) → fine-tuning → inference and monitoring for production workloads.
• Develop robust Python microservices to serve LLM inference, retrieval, and agentic workflows using LangChain / LangGraph or equivalent toolkits.
• Implement and optimise vector search pipelines (FAISS / Pinecone / Milvus), embedding generation, chunking strategies, and relevance tuning for sub-second retrieval.
• Perform parameter-efficient fine-tuning (LoRA / adapters) and evaluation workflows; manage model versioning and automated validation for quality and safety.
• Containerise and deploy models and services with Docker and Kubernetes; integrate with cloud infra (AWS / Azure / GCP) and CI / CD for repeatable delivery.
• Establish observability, alerting, and performance SLAs for LLM services; collaborate with cross-functional teams to define success metrics and iterate rapidly.

Skills & Qualifications

Must-Have

Preferred

Benefits & Culture Highlights

To apply : include a brief portfolio of LLM projects, links to relevant repositories or demos, and a summary of production responsibilities. This role is ideal for engineers passionate about turning cutting-edge LLM research into reliable, scalable enterprise solutions.

Skills : llm,open ai,gemini

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Skills Required

Pytorch, Gcp, Docker, Azure, Python, Kubernetes, Aws