We are seeking an AI Tech Lead to serve as a hands-on technical leader for Agentic AI solutions across Proof of Concept, MVP, and Production.

Requirements

5+ years in software engineering roles with demonstrable hands-on leadership as a senior developer, tech lead, or lead engineer delivering complex systems
Proven experience leading technical execution across the SDLC, including integration, testing strategy support, and production release readiness
Experience delivering AI-enabled or data-intensive products in regulated or enterprise contexts is strongly preferred
Bachelor's degree in a STEM field (Computer Science, Engineering, Data Science, Information Systems, Mathematics, or related discipline), or equivalent practical experience spanning product management, software delivery, and AI/data systems
Strong engineering fundamentals in software design, APIs/integration, data flows, and distributed systems considerations
Working knowledge of architecture principles (security, scalability, reliability, maintainability) and the ability to collaborate effectively with architecture teams to align implementation with standards and best practices
Strong CI/CD and engineering hygiene: automated testing, code review discipline, environment readiness, and operational awareness

Benefits

We are seeking an AI Tech Lead to serve as a hands-on technical leader for Agentic AI solutions across Proof of Concept, MVP, and Production.

5+ years in software engineering roles with demonstrable hands-on leadership as a senior developer, tech lead, or lead engineer delivering complex systems
Proven experience leading technical execution across the SDLC, including integration, testing strategy support, and production release readiness
Experience delivering AI-enabled or data-intensive products in regulated or enterprise contexts is strongly preferred
Bachelor's degree in a STEM field (Computer Science, Engineering, Data Science, Information Systems, Mathematics, or related discipline), or equivalent practical experience spanning product management, software delivery, and AI/data systems
Strong engineering fundamentals in software design, APIs/integration, data flows, and distributed systems considerations
Working knowledge of architecture principles (security, scalability, reliability, maintainability) and the ability to collaborate effectively with architecture teams to align implementation with standards and best practices
Strong CI/CD and engineering hygiene: automated testing, code review discipline, environment readiness, and operational awareness