Tech Lead Agentic AI Systems

Key Responsibilities

AI System Development

• Design and build Agentic AI workflows using modern LLM orchestration frameworks.
• Develop intelligent systems that combine LLM reasoning, structured workflows, and

external tools or APIs.

• Implement production-grade AI products using Python-based backend frameworks
• Integrate LLM/SLM models into enterprise applications with strong reliability and performance considerations.

Architecture & Technical Leadership

• Own the technical architecture for AI systems and ensure alignment with scalability,

security, and maintainability best practices.

• Lead technical design discussions and guide engineering teams on system architecture

and implementation decisions.

• Establish standards for code quality, modularity, testing, and deployment.
• Build and manage systems using modern LLM orchestration and observability
• frameworks.
• • Implement evaluation, monitoring, and debugging workflows for LLM-based systems.

• Technical Delivery Ownership
• • Take ownership of technical delivery across AI projects, ensuring solutions are robust,
• maintainable, and aligned with business objectives.
• • Work closely with product, data science, & engineering teams to translate requirements
• into scalable technical implementations.
• • Identify potential technical risks and proactively propose solutions or architectural
• improvements.