AI Engineer /Lead

We are hiring AI Engineers at all levels, seeking individuals who have  built and shipped production-grade AI Agents and have deep hands-on experience in Agentic AI . In this role, you will lead end-to-end development of autonomous AI agents that power our core media business. From architecting agentic workflows and RAG systems to deploying scalable, reliable LLM-powered products, you will play a central role in building the intelligent systems that enable audience growth, editorial excellence, and commercial innovation. This is a compelling opportunity to shape high-impact AI products, work alongside senior leadership, and bring Agentic AI into production at national scale. B. ROLES & RESPONSIBILITIES Agentic AI & Production AI Agents Design, build, and deploy production-grade AI Agents with capabilities in reasoning, planning, tool-use, memory, and multi-step task execution Architect agentic workflows and orchestration frameworks (e.g. LangGraph, AutoGen, CrewAI or in-house) that are scalable, observable, and reliable at scale Build LLM-powered applications including RAG pipelines, autonomous research agents, content intelligence agents, and workflow automation agents for Editorial, Subscriptions, and Advertising AI Platform & Infrastructure Develop the foundational platform for AI Agents - including agent registry, evaluation framework, prompt management, vector stores, memory layers, and tool integrations Build robust data pipelines and feature pipelines that feed AI Agents with high-quality structured and unstructured data from our data lake ecosystem Implement guardrails, safety checks, hallucination detection, and human-in-the-loop systems to ensure trustworthy and responsible AI AI Product Development Own core AI products from prototype to production - audience intelligence agents, personalization agents, content generation and summarization agents Optimize agents for latency, cost, accuracy, and user experience in a live production environment Partner with Product, Editorial, and Commercial teams to translate ambiguous business problems into well-scoped agentic solutions Governance, Evaluation & Excellence Establish evaluation metrics and observability for AI Agents - accuracy, faithfulness, task success rate, latency, and cost Champion best practices in LLMOps, versioning, CI/CD for AI, and model governance Stay at the forefront of Agentic AI, LLMs, and multimodal models, evaluating practical applicability to SPH Media C. WHO WE ARE LOOKING FOR Educational Qualifications An advanced degree (Master's or PhD) in Computer Science, AI/ML, Data Science, or a related quantitative field Candidates without a formal advanced degree who can demonstrate equivalent depth through a strong portfolio of production AI Agents are equally encouraged to apply Technical Experience Production Agentic AI Minimum 3-6 years of hands-on experience building and shipping AI / ML systems, with at least 2+…