We are looking for a "Lead Agentic AI Engineer" for our client 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 FastAPI.
• 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, including SQL and 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, such as AWS or Azure.
• Drive the adoption of emerging frameworks, including AWS AgentCore, as part of the Phase 2 roadmap.

Required Skills (Must-Have)

• Expert-level backend development experience with Python and FastAPI.
• Strong experience with SQL, Databricks, and relational databases.
• Hands-on experience with at least one cloud platform, such as 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 AgentCore 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 skills with both technical and business stakeholders.

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