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 contemporary 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