Lead AI System Engineer

1.   AI Systems Architecture & Development

•    Lead end-to-end development, deployment, and scaling of AI Agents and complete Agentic AI systems.

•    Architect scalable AI-enabled application systems integrating reasoning workflows, orchestration layers, and intelligent services.

•    Translate business requirements into scalable technical architectures for AI-driven applications.

•    Ensure robustness of AI systems by implementing evaluation frameworks, guardrails, and performance optimization mechanisms.

2.   Full Stack Engineering Leadership

•    Oversee development of backend services using Python frameworks (FastAPI/Django).

•    Guide frontend development using modern frameworks such as React or Next.js

•    Ensure scalable system architecture, efficient APIs, and reliable application performance.

•    Drive engineering best practices including code quality, documentation, and architecture standards.

3.   Technical Leadership & Team Development

•    Lead and mentor a team of engineers building AI-enabled applications.

•    Conduct architecture reviews, code reviews, and technical design discussions.

•    Guide engineers in building scalable and maintainable systems.

•    Support hiring, onboarding, and capability development of the engineering team.

4.   System Performance & Reliability

•    Ensure system scalability, performance optimization, and operational stability.

•    Establish monitoring, logging, and observability frameworks for production environments.

•    Drive improvements in system efficiency, latency management, and infrastructure reliability.

5.   Cross-Functional Collaboration

•    Collaborate with product, design, and business teams to translate requirements into technology solutions.

•    Participate in product planning, sprint cycles, and roadmap discussions.

Ensure alignment between technology delivery and business priorities.