Senior LLM Engineer

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

Pay: ₹574,000\.00 \- ₹1,950,000\.00 per year

Work Location: In person