Senior LLM Engineer

Employer description and requirements

Senior LLM Engineer – GenAI / ML (Python, Langchain)

Full Time

Location: India

Overall Experience: 7–12 Years

Focus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration.

Key Responsibilities:

Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines.

Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions.

Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives.

Translate business needs into scalable, production-ready AI solutions.

Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases.

Contribute to architecture discussions, code reviews, and performance optimization.

Skills Required:

Proficient in Python, Langchain, and SQL.

Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows.

Background in machine learning or software engineering with a focus on system-level thinking.

Experience working with cloud platforms like AWS, Azure, or GCP.

Ability to work independently while collaborating effectively across teams.

Excellent communication and stakeholder management skills.

Preferred Qualifications:

1+ years of hands-on experience in LLMs and Generative AI techniques.

Experience contributing to ML/AI product pipelines or end-to-end deployments.

Familiarity with MLOps and scalable deployment patterns for AI models.

Prior exposure to client-facing projects or cross-functional AI teams.