LLM Engineer (4+ yrs experience)

Company Description

Lean IT Inc. is a prominent technology services company specializing in innovative cloud solutions, data science, and engineering. As an official Salesforce Ridge Partner, Lean IT Inc. is renowned for providing expert consultations, developing tailored Salesforce solutions, and creating custom applications on the AppExchange platform. The company excels in data visualization, big data implementation, and modernization, helping businesses transform data into actionable insights. With a team of skilled professionals, Lean IT Inc. ensures all solutions meet the highest industry standards. As part of its corporate values, the company actively participates in philanthropy through the Pledge 1% initiative.

Role Description

We are seeking a skilled LLM Engineer with 4+ years of experience to join our team in a hybrid capacity. This contract-based role requires working from our Bengaluru office with flexibility for remote work. The LLM Engineer will develop, fine-tune, and optimize large language models (LLMs) to support various business applications. Responsibilities include conducting research, building applications using LLM frameworks, integrating APIs with machine learning systems, and ensuring scalable and efficient performance. The role also involves collaborating with cross-functional teams to align machine learning solutions with organizational goals.

Title : LLM Engineer

Experience : 4+ yrs

Location : Noida , Gurgaon, Bangalore ,Pune

Hire Mode : Contact

Roles & Responsibilities (R&R) :

• Build GenAI applications such as answering engines, information extraction modules, and content authoring systems.
• Design and implement RAG (Retrieval-Augmented Generation) pipelines using frameworks like LangChain, LlamaIndex, and emerging orchestration tools.
• Build Agentic AI systems (Autonomous, Reasoning Based and Multi agentic systems)
• Build custom GenAI platform components incl including vector database operations, caching layers, chunking strategies, embeddings
• Leverage leading industry GenAI platforms like Azure OpenAI, AWS Bedrock, Databricks, Dataiku
• Craft, test, and optimize prompting strategies (zero-shot, few-shot, chain-of-thought, function calling, structured output) to align outputs with business requirements.
• Scale GenAI applications for high concurrency, large datasets, and low latency response times.
• Build and maintain robust APIs (FastAPI or similar) for seamless integration into products and platforms.
• Collaborate with product managers, designers, and engineers to translate GenAI capabilities into production grade features.
• Stay ahead of emerging GenAI trends (agent frameworks, evaluation tools, synthetic data, fine-tuning methods, guardrails & responsible AI frameworks).

Must Have Skills

Good to Have Skills

Experience