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Open nowFirst seen 8 hours ago

AI Engineer /Lead

newbridge100 open roles

Where
Singapore
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Your applicationOpen nowAI Engineer /Leadnewbridge · Singapore

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 8 hours ago

The posting

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+ years specifically building Production AI Agents Proven track record of deploying Agentic AI systems with tool calling, function calling, planning & reasoning, memory, and multi-agent collaboration in production Experience with LLM orchestration frameworks: LangChain, LangGraph, LlamaIndex, Semantic Kernel or similar
  • LLM & AI Stack Strong hands-on experience with LLMs (OpenAI, Claude, Gemini, open-source LLMs), RAG architectures, vector databases (Pinecone, Weaviate, Milvus, pgvector), and embedding models Experience fine-tuning, prompt engineering, and evaluating LLMs for production use cases Experience with AI-powered solutions involving unstructured data - text, images, video
  • Core Engineering Skills Deep proficiency in Python, and strong skills in SQL, Spark or similar data processing frameworks. Coding tests may be required Experience building scalable APIs, microservices, and event-driven systems to serve AI Agents (FastAPI, Docker, Kubernetes) Solid understanding of MLOps / LLMOps, observability, and data governance best practices
  • Functional Skills Excellent communication skills with the ability to translate complex AI concepts for technical and non-technical stakeholders Comfortable working in cross-functional, fast-moving environments where priorities evolve quickly Experience in media, internet, or content-heavy industries is a strong advantage
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