AI Engineering Lead

Solutioning & Lead

Build the technical roadmap given a business requirement and own the delivery of the same.
Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction.

Design

Design robust multi-agent architectures including supervisor-router patterns with dynamic sub-agent routing and stopping conditions

Mentoring & Guidance

Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.

Development

• Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like retrieval-augmented generation (RAG) and multi-agent based architectures.
• Build and maintain agent evaluation pipelines, including offline eval datasets, LLM-as-judge, and CI-integrated eval runs.
• Build & maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.

Cloud Integration

Deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.