Full Stack AI Engineer

OOm Pte Ltd; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

OOm Pte Ltd in Singapore is seeking a Full Stack AI Engineer to own features from idea to production. You will work across frontend, backend, AI orchestration and cloud deployment with a modern stack.

Join a team focused on building production-ready AI solutions, integrating LLMs, and delivering scalable, reliable features that matter to clients.

Qualifications

• Strong knowledge of Python, NodeJS, React, and cloud services.
• Experience integrating LLMs into production AI features.
• Hands-on experience with prompt engineering for production apps.
• Ability to design end-to-end AI features from concept to production.
• Excellent communication across product and design teams.

Responsibilities

• Design and build customer-facing AI features from concept to production.
• Develop scalable backend APIs using Python and NodeJS.
• Build responsive web applications using React and Tailwind CSS.
• Integrate LLMs into production workflows.
• Design RAG pipelines and AI agents with tool calling.
• Connect AI systems to CRMs, messaging platforms, and third-party APIs.
• Improve AI quality, latency, reliability and operating cost.
• Monitor, troubleshoot and continuously improve production systems.

Skills

Python

NodeJS

React

Tailwind CSS

FastAPI

AWS

LLM integration

AI workflows

Problem solving

Tools

Git

Job description

About the Company:

We're not here to run campaigns. We're here to help businesses build legacies.

OOm is one of Singapore's leading performance digital marketing agencies, and we've been growing businesses since 2006. Across SEO, SEM, social, content, and web, we work as true partners to our clients. We are obsessed with their success, honest about what works, and relentless in our pursuit of results that last well beyond one quarter.

Over 8,000 clients. 30+ industry awards. A Premier Google Partner. A Meta Business Partner.

But more than the accolades, what defines us is how we work and who we work with.

We believe in winning together. That means we back great teams over individual stars, make bold calls over safe ones, and build for tomorrow even when today's demands are loudest. We move with conviction, we show up with grit and resilience, and we never stop growing because that's exactly what we ask of the businesses we serve.

The Opportunity

Unlike many companies where AI is an add-on feature, AI is at the heart of our products and services. Our engineers build production ready systems that combine modern software engineering with the latest LLM technologies to solve real problems.
If you enjoy owning products end-to-end and shipping impactful features quickly, we’d love to meet you.

What You’ll Do

As a Full Stack AI Engineer, you’ll own features from idea to production. Your work will span frontend development, backend services, AI orchestration and cloud deployment.

You’ll:

• Design and build customer-facing AI features from concept to production

• Develop scalable backend APIs using Python and NodeJS

• Build responsive web applications using React and Typescript

• Integrate LLMs into production workflows

• Design RAG pipelines

• Build AI agents with tool calling, workflow orchestration and automation

• Connect AI systems to CRMs, messaging platforms, and third-party APIs

• Improve AI quality, latency, reliability and operating cost

• Work closely with Product and Design to rapidly iterate and ship new features

• Monitor, troubleshoot and continuously improve production systems

The Talent

• Exceptional problem solving and analytical skills, with the ability to break down complex business challenges into practical, scalable technical solutions

• Excellent communications skills, with the ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders, and collaborate effectively across product, design and business teams

• Comfortable working across both frontend and backend

• Hands on experience integrating and building applications with LLMs

• Practical experience in designing, testing and refining prompts for production AI applications

• Experience developing AI agents and multi step AI workflows

• Familiarity with designing autonomous or semi-autonomous AI workflows for real world applications

• Hands on experience with RAG, vector databases and modern AI orchestration frameworks

• Experience implementing strategies that improve the reliability, safety and consistency of AI-powered features

• Proficient in Python, NodeJS, React, Tailwind CSS, FastAPI, AWS

• Exposure to training, evaluating or deploying machine learning models is an advantage