Lead Agentic AI Engineer

Role Overview

We are looking for a Lead Agentic AI Engineer to drive the design, development, and deployment of advanced AI-powered applications using Generative AI and agentic frameworks.

This role combines deep technical expertise with leadership responsibilities, including guiding architecture, mentoring engineers, and shaping AI strategy across initiatives.

Key Responsibilities

• Lead the design and development of scalable backend systems using Python and Fast API
• Architect and deliver end-to-end GenAI and Agentic AI applications in production
• Partner with Architects to define technical strategy and best practices for agentic AI systems
• Integrate AI solutions with enterprise data platforms (SQL, Databricks)
• Provide technical leadership, mentorship, and conduct code reviews
• Collaborate with stakeholders to translate business needs into AI-driven solutions
• Oversee deployment, scalability, and performance on cloud platforms (AWS or Azure)
• Drive adoption of emerging frameworks, including AWS Agent Core (Phase 2 roadmap)

Required Skills (Must-Have)

• Expert-level backend development with Python and Fast API
• Strong experience with SQL, Databricks, and relational databases
• Hands-on experience with at least one cloud platform (AWS or Azure)
• Proven track record of building and scaling end-to-end GenAI or Agentic AI applications
• Experience leading technical teams or owning architecture for complex systems

Preferred Skills (Good-to-Have)

• Frontend experience with React and Tailwind CSS
• Familiarity with AWS Agent Core or similar agent orchestration frameworks

What We’re Looking For

• Strong leadership and decision-making skills
• Ability to balance hands-on development with strategic oversight
• Excellent communication with both technical and business stakeholders