An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Times Group is seeking a Senior Full Stack Engineer to lead architecture and development of AI-driven, scalable products. Expect hands-on work across frontend, backend, AI orchestration, APIs, and cloud infra with emphasis on React, Node.js, Python, and databases.
The role targets 6+ years of experience, focusing on agentic AI, LLM workflows and multi-agent systems, with deployment on AWS/Azure and a strong emphasis on production reliability.
Times Group is one of India’s leading media and entertainment organizations, with a strong presence across digital media, news, publishing and entertainment. We are looking for a Senior Full Stack Engineer to drive the architecture and development of next-generation AI, Generative AI and intelligent products at scale. Role Overview We are looking for a Senior Full Stack Engineer with 6+ years of experience in software engineering, with strong hands‑on expertise in React / Angular, Node.js , Python, Mongo DB / Postgres, Cloud platforms and Agentic AI engineering. The role requires someone who can design and build scalable full‑stack applications powered by Large Language Models, AI agents, RAG pipelines and multi‑agent workflows. You will work across frontend, backend, AI orchestration, APIs, cloud infrastructure and production systems.
Design, develop and maintain scalable full‑stack applications using React, Node.js and Python, Mongo DB / Postgres. Build production‑grade LLM applications, AI agents, Agentic workflows and multi‑agent systems. Develop RAG‑based applications using document ingestion, embeddings, retrieval, reranking and context optimization. Build agent workflows with capabilities such as tool calling, memory, planning, task execution, human‑in‑the‑loop approvals and workflow orchestration. Develop responsive and intuitive user interfaces for AI products using React. Deploy, monitor and optimize applications across AWS and/or Azure. Establish practices for LLM evaluation, observability, tracing, monitoring and production reliability. Collaborate with product, design and engineering teams to take solutions from concept and POC to production and scale