AWS Engineer

3 days ago

Bangalore, India Lean IT Inc. Full time

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. 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 Build GenAI applications such as answering engines, information extraction modules, and content authoring 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. Build and maintain robust APIs (FastAPI or similar) for seamless integration into products and platforms. Stay ahead of emerging GenAI trends (agent frameworks, evaluation tools, synthetic data, fine-tuning methods, guardrails & responsible AI frameworks). Programming: Python (Advanced), FastAPI Cloud Platforms: AWS / Azure (hands-on experience) Gen AI: LangChain, LlamaIndex (or equivalents), Agentic AI frameworks like LangGraph or CrewAI, Vector DB (like Pinecone or OpenSearch), Managed or Hosted LLM APIs, Context engineering Azure Open AI / AWS Bedrock / Databricks / Dataiku Software Engineering: System Design, Microservices, Distributed systems, Event driven architectures, SDLC MLOps / DevOps: CI/CD, Kubernetes, containerization, model monitoring UI : ReactJS Experience building AI products Tools like Guardrails AI, Pydantic, RAIL, or Azure AI Content Safety Experience Overall: 2+ years in software engineering / data science 1+ years (hands-on projects)

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