This is a full time GenAI / Agentic AI Engineer role based in Delhi. The engineer will be responsible for designing, building, and scaling AI-powered products and agentic systems that form the intelligence layer of the Teertham platform.

The role will involve building production-grade LLM applications, AI agents, RAG pipelines, tool-using agents, conversational experiences, recommendation systems, and intelligent automation. You will work closely with product, engineering, design, data, operations, and spiritual/domain experts to transform complex spiritual and customer problems into reliable AI experiences.

A key focus of the role will be building Bhrigu — Teertham’s AI Acharya — and the broader agentic AI ecosystem around it. This includes enabling AI systems to understand scriptures and domain knowledge, reason over structured and unstructured information, use tools and APIs, maintain context, provide personalized guidance, and safely execute multi-step workflows.





The ideal candidate is someone who enjoys working at the cutting edge of GenAI and agentic systems while also caring deeply about reliability, evaluation, latency, cost, safety, and real-world user experience.

Key Responsibilities:
Design, build, and deploy production-grade GenAI and Agentic AI systems for Teertham’s consumer platform.
Architect and develop intelligent AI agents capable of reasoning, planning, tool usage, task execution, and multi-step workflows.
Build and continuously improve Bhrigu, Teertham’s AI Acharya, including its knowledge, reasoning, conversational, and personalization capabilities.
Develop robust RAG systems over Hindu scriptures, Vedic literature, Panchang, Muhurat, ritual knowledge, and other trusted domain sources.
Build ingestion, chunking, embedding, retrieval, reranking, citation, and knowledge-management pipelines for domain-specific AI applications.
Integrate LLMs with internal systems, databases, APIs, search systems, recommendation engines, and third-party tools.

📌 Agentic AI engineer (India)
🏢 Teertham
📍 India