Key Responsibilities

AI System Development
Design and build Agentic AI workflows using contemporary 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 robust 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 contemporary 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.

📌 Tech Lead Agentic Ai Systems Bengaluru
🏢 Riverstone Talent
📍 Bengaluru