Senior LLM Lead

Role Title : Senior LLM Engineer – GenAI / ML (Python, Langchain) Experience :

7–12 years

of total experience in ML / Software Engineering, with 3–4 years of recent experience in LLMs and Generative AI.

Role Overview :

We are seeking highly skilled and experienced Senior LLM Engineers with a strong background in Machine Learning and Software Engineering who have transitioned into Generative AI (GenAI) and Large Language Models (LLMs) over the past 3–4 years. This is a hands-on engineering role focused on designing, building, and deploying GenAI-based systems using state-of-the-art frameworks and tools. The role involves active participation in architectural design, model fine-tuning, and cross-functional collaboration with business stakeholders, data teams, and engineering leaders to deliver enterprise-grade GenAI solutions. Key Responsibilities

• GenAI System Design : Architect and develop GenAI / LLM-based systems using frameworks like LangChain and Retrieval-Augmented Generation (RAG) pipelines.
• Prompt Engineering & Agent Design : Implement advanced prompt engineering strategies and agent-based workflows to build intelligent, context-aware AI systems.
• Technical Roadmapping : Collaborate with product and engineering stakeholders to define and drive the technical roadmap for LLM and GenAI initiatives.
• AI Solution Delivery : Translate complex business requirements into scalable, production-ready AI solutions.
• Cross-functional Collaboration : Work closely with business SMEs, product owners, and data engineering teams to align AI models with real-world use cases.
• System Optimization : Contribute to code reviews, system architecture discussions, and performance tuning of deployed models.

Required Skills :

Preferred Qualifications :