AI Technical Lead

About Us

Kumaran Systems: Engineering Future-Ready Transformations Since 1992, Kumaran Systems has been helping enterprises bridge the past and the future, reimagining legacy systems and embracing AI-led possibilities. With over 34 years of delivery excellence, we specialise in re-engineering core applications, driving cloud transformation, and building automation-first, GenAI-enabled ecosystems across the Banking and Financial Services, Insurance, Telecom, and Automotive sectors. We help organisations not just upgrade their systems but reimagine what’s possible.

Why Kumaran?

We blend engineering discipline with AI innovation, helping clients modernise with confidence, automate with clarity, and scale with purpose. Our global delivery model ensures agility, responsiveness, and seamless collaboration, with clients always at the heart of every engagement. At Kumaran, we don’t just solve problems, we engineer future-ready transformations.

AI Technical Lead

• Own AI solutions technically & drive end-to-end from stakeholder interaction, conceptualisation, PoC, to productionization.
• Drive quick Proof of Concept / Feasibility of the solution.
• Support pre-sales in proposing the right solution, customer engagement, & plan.
• Responsible for technical artifacts creation for the solution.
• Drive the solution to maturity & production grade through the team.
• Keep up to date with technology trends & apply them appropriately in the solution.
  
  

• Experience in Multi-Agent AI system design & development for business problems with standard Agent SDK, A2A, MCP
• Experience in GenAI solutions design & development like RAG, Agentic RAG, Vector DB, Agentic Patterns Orchestrator, Planner.
• Experience in fine-tuning various LLMs like Mistral, Olama with domain data.
• Experience in designing evaluation & AgentOps for Agentic AI solutions.
• Experience in training ANN for NLP, Computer Vision problems with Object Detection Models, Transformer Models, Prediction Models.
• Strong Python system design & development, microservices, docker, Kubernetes, AWS / Azure