AI Engineer /Lead

Newbridge; Singapore; On-site; SGD 150,000 - 260,000; Full time

Job summary

Newbridge is hiring AI Engineers at all levels to lead end-to-end development of autonomous AI agents powering client solutions. You will architect agentic workflows, implement RAG pipelines, and deploy scalable, production-grade AI products.

Senior contributors will shape governance, evaluate LLMs, and drive agent quality with observability, safety checks, and multi-agent collaboration across Editorial, Subscriptions, and Advertising domains.

Qualifications

• Advanced degree in CS/AI/Data Science or equivalent depth demonstrated by production AI Agents.
• Strong portfolio of production AI Agents is a plus.

Responsibilities

• Design, build, and deploy production-grade AI Agents with reasoning, planning, tool-use, memory, and multi-step execution.
• Architect scalable agentic workflows and orchestration frameworks for large-scale deployments.
• Develop AI products including RAG pipelines, autonomous research, and content-generation agents for various business units.

Skills

Python

SQL

Spark

APIs

Kubernetes

Docker

MLOps

LLMOps

Observability

Data governance

Education

Master's or PhD in CS/AI/Data Science

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

Pinecone

Weaviate

Milvus

pgvector

OpenAI

Claude

Gemini

Job description

We are hiring AI Engineers at all levels, seeking individuals who have built and shippedproduction-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 clients 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 our client.

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