Senior LLM Lead

Role Title

Experience:

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:

● 7–12 years of total experience in ML/Software Engineering, with 3–4 years of recent

experience in LLMs and Generative AI.

● Strong proficiency in Python, LangChain, and SQL.

● Deep understanding of LLM concepts including:

○ Prompt tuning

○ Embeddings

○ Vector databases (e.g., FAISS, Pinecone)

○ Agent frameworks

● Experience working with cloud platforms such as AWS, Azure, or GCP.

● Solid understanding of ML pipelines, deployment strategies, and GenAI use cases.

● Ability to work independently and collaboratively in fast-paced, cross-functional

environments.

● Strong verbal and written communication skills; ability to engage effectively with

technical and non-technical stakeholders.

Preferred Qualifications:

● Minimum 1+ years of hands-on experience specifically in LLM/GenAI-focused

implementations.

● Experience delivering ML/AI products from prototyping through to production.

● Familiarity with MLOps, CI/CD, containerization, and scalable AI model deployment.

● Prior involvement in client-facing projects or cross-functional teams building

production-ready AI systems.