Description :

Job Description : Lead AI/ML Engineer (Generative AI & LLMs)

Location : Bangalore

Work Mode : Onsite

About the Role :

We are seeking a highly skilled and experienced Lead AI/ML Engineer with deep expertise in Generative AI, Large Language Models (LLMs), and modern AI architectures.

The ideal candidate will drive end-to-end AI solution development, lead complex GenAI initiatives, and mentor a team of AI engineers to deliver scalable, production-grade AI systems.

Key Responsibilities :

AI/ML & LLM Development :

- Lead the design, fine-tuning, and optimization of Large Language Models (LLMs) for real-world enterprise applications.

- Build and implement RAG (Retrieval-Augmented Generation) architectures using vector databases and advanced retrieval techniques.

- Develop agent-based AI workflows using Agentic AI frameworks such as LangChain, LangGraph, AutoGPT, or similar tools.

Technical Leadership :

- Architect end-to-end GenAI solutions, ensuring scalability, performance, and security.

- Define standards, best practices, and reusable frameworks for LLM training, deployment, and evaluation.

- Provide mentorship and guidance to AI/ML engineers on model architectures, fine-tuning techniques (LoRA, PEFT, etc.), RAG pipelines, and AI experimentation.

Collaboration & Delivery :

- Work closely with product, data engineering, and cloud teams to deliver production-ready AI solutions.

- Collaborate in designing data pipelines, preprocessing pipelines, and model evaluation strategies.

- Ensure timely delivery of AI projects while maintaining high technical quality.

MLOps & Deployment :

- Oversee cloud-based AI deployments leveraging AWS, Azure, or GCP.

- Implement robust MLOps workflows, enabling CI/CD for machine learning models.

- Optimize model serving, monitoring, and lifecycle management.

Requirements :

Must Have :

- 6+ years of hands-on experience in AI/ML development.

- Proven expertise with LLM architectures, fine-tuning methods (LoRA, PEFT, QLoRA), and prompt engineering.

- Strong experience in building RAG systems, vector search, embeddings, and retrieval frameworks.

- Solid knowledge of Python, and deep learning frameworks such as PyTorch or TensorFlow.

- Hands-on experience with agentic AI ecosystems and workflow automation tools.

- Experience leading teams and managing full-cycle AI/ML project delivery.

Good to Have :

- Experience in distributed model training, quantization, and optimization techniques.

- Familiarity with data engineering concepts and ETL/data pipeline design.

- Strong understanding of MLOps, model deployment, and cloud-native AI solutions.

Why Join Us :

- Opportunity to lead cutting-edge GenAI initiatives.

- Collaborative environment with strong focus on innovation.

- Work on real-world, high-impact AI products at scale.