Looking for Sr. LLM Engineer Gen AI profile | Gurgaon to join a team of rockstar developers. The candidate should have a minimum of 5yrs of experience.
About CodeVyasa :
CodeVyasa is a mid-sized product engineering company that works with top-tier product / solutions companies such as McKinsey, Walmart, RazorPay, Swiggy , and others. We are about 550+ people strong and we cater to Product & Data Engineering use-cases around Agentic AI, RPA, Full-stack and various other GenAI areas.
Key Responsibilities :
- Design and develop intelligent applications using LLM frameworks like LangChain or LangGraph.
- Implement and optimize RAG pipelines using vector databases, embedding models, and knowledge bases.
- Create advanced prompt engineering strategies for various business use cases (e.g., summarization, question answering, document understanding).
- Develop agent-based LLM systems capable of autonomous task execution, decision branching, and contextual awareness.
- Integrate AI systems with cloud services (AWS, Azure, GCP) and APIs for production deployment.
- Write clean, efficient, and modular Python code following best practices.
- Query and manage data using SQL , and build pipelines that combine unstructured and structured data for LLM consumption.
- Collaborate with data scientists, ML engineers, and product teams to ship production-grade solutions.
- Evaluate model outputs for relevance, accuracy, and alignment, and continuously improve performance.
Must-Have Skills :
Strong proficiency in Python for building modular, scalable codebases.Hands-on experience with LangChain or LangGraph .Expertise in prompt engineering and chaining logic for LLM workflows.Practical knowledge of Retrieval-Augmented Generation (RAG) architectures and vector databases (e.g., FAISS, Pinecone, Weaviate).Experience designing and implementing agent-based LLM systems .Solid SQL skills for querying relational databases.Why Join CodeVyasa?
Work on innovative, high-impact projects with a team of top-tier professionals.Continuous learning opportunities and professional growth.Flexible work environment with a supportive company culture.Competitive salary and comprehensive benefits package.Free healthcare coverage.