Job Description : Lead AI Engineer

Location : Bangalore, India

Work Mode : On-site

Experience : 7-10 Years

Employment Type : Full-time

About the Role :

We are looking for a Lead AI Engineer to drive the design, development, and deployment of next-generation AI systems. This is a hands-on leadership role for someone who has moved beyond experimentation and has shipped production-grade AI products at scale with deep expertise across GenAI, Agentic AI, LLMs, and RAG pipelines. You will own technical architecture, guide a team of engineers, and shape how AI is built and deployed across the organization.

Key Responsibilities :

- Lead the end-to-end architecture and development of AI and GenAI-powered products and platforms.

- Design and build agentic AI systems capable of autonomous, multi-step reasoning, planning, and task execution.

- Architect and optimize RAG (Retrieval-Augmented Generation) pipelines for accuracy, latency, and scale.

- Fine-tune, evaluate, and deploy LLMs for real-world, production use cases.

- Build robust, scalable Python backend systems and APIs to power AI applications.

- Define and drive technical roadmaps in collaboration with product, data science, and engineering leadership.

- Establish best practices for AI system design, evaluation, monitoring, and responsible deployment.

- Mentor and guide engineers, lead code/design reviews, and raise the technical bar across the team.

- Stay current with the fast-evolving AI/GenAI landscape and evaluate new tools, models, and frameworks for adoption.

Required Skills & Experience :

- 7-10 years of overall software engineering experience, with strong hands-on exposure to AI, GenAI, and Agentic AI system design.

- Proven expertise working with Large Language Models (LLMs) including fine-tuning, prompt engineering, evaluation, and production deployment.

- Practical experience building and optimizing RAG pipelines, including vector databases, embeddings, and retrieval strategies.

- Strong Python backend development skills, with experience designing and scaling APIs and distributed services.

- Solid understanding of ML/AI fundamentals, model lifecycle management, and the practical challenges of production AI systems.

- Experience with cloud platforms (AWS/GCP/Azure) and MLOps/LLMOps practices is a strong plus.

- Demonstrated ability to lead technical discussions, make architectural decisions, and drive projects independently.

- Strong problem-solving skills with a track record of building systems that are reliable, scalable, and maintainable.

Good to Have :

- Experience with agent orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex, or equivalent).

- Familiarity with model evaluation frameworks and AI observability/monitoring tools.

- Prior experience mentoring engineers or leading a small technical team.

- Contributions to open-source AI/ML projects or published technical work.

Qualification :

Bachelor's or Master's degree in Computer Science, Artificial Intelligence/Machine Learning, or a related field (premier institute preferred).

Why Join Us :

This is a rare opportunity to lead cutting-edge AI initiatives from the ground up working on real agentic systems and production LLM applications, not just proof-of-concepts. You will have significant ownership over architecture and technical direction as the AI landscape continues to evolve, with the scope to build and mentor a high-performing engineering team.