AI/ML Engineer

Senior Applied AI Engineer (LLMs / GenAI)

Location | Singapore (Hybrid)

Comp | Highly Competitive + Equity

Focus | LLMs, RAG, Agents, Model Deployment, Enterprise AI Systems

We're partnering with one of the leading AI research and product companies globally, building state-of-the-art foundation models and deploying them into real-world applications used by enterprises and governments around the world.

With global teams, they are now expanding their Applied AI Engineering group in Singapore, hiring engineers who can bridge the gap between research breakthroughs and real-world deployment. This is a rare opportunity to work directly with frontier AI models, helping some of the world's most ambitious organisations integrate LLMs, RAG systems, and agentic architectures into production environments.

About The Role

As an Applied AI Engineer, you'll work at the intersection of research, product, and real-world deployment, helping customers build and deploy advanced AI systems using state-of-the-art models.

You'll partner with organisations across multiple industries, supporting them from initial architecture design through to production deployment, ensuring AI systems deliver real business impact.

This role combines deep technical work with customer-facing collaboration, and is ideal for engineers who enjoy solving complex problems, deploying cutting-edge technology, and working directly with decision-makers.

Examples of the types of challenges you might tackle:

• Deploying LLM-powered applications into real-world enterprise environments
• Designing RAG pipelines and agentic AI systems for complex use cases
• Fine-tuning models and optimising inference pipelines for production workloads
• Building scalable infrastructure for large-scale AI deployments
• Collaborating with research teams to translate state-of-the-art models into real-world systems
• Helping organisations adopt GenAI across critical business workflows

What You'll Do

Deploy AI systems into production: Work directly with customers to design and implement real-world AI applications with meaningful business impact.

Bridge research and engineering: Collaborate closely with research teams to productionise cutting-edge models and integrate them into real applications.

Solve complex technical problems: Architect scalable solutions across model deployment, inference optimisation, and data pipelines.

Partner with customers and stakeholders: Work with engineers, data scientists, and technical leaders to understand requirements and guide implementation.

Contribute to the broader AI ecosystem: Participate in open-source projects and contribute to tools and infrastructure around LLM deployment.

What We're Looking For

• 7+ years of experience as a software engineer, ML engineer, or data scientist
• Strong experience building AI or machine learning systems in production
• Hands-on experience with LLMs, RAG pipelines, or agent-based systems
• Deep understanding of machine learning algorithms and modern AI architectures
• Experience deploying systems in cloud environments or distributed infrastructure
• Experience building or operating systems used by large-scale user bases
• Ability to communicate complex technical concepts to both technical and non-technical stakeholders
• Strong ownership mindset and ability to operate in high-impact environments

You'll Likely Thrive Here If

• You enjoy working on frontier AI technologies
• You like solving real-world problems using cutting-edge models
• You enjoy bridging research, engineering, and product
• You're comfortable working directly with technical leaders and enterprise customers
• You want to work on AI systems that deliver meaningful real-world impact

What's On Offer

• Competitive compensation with equity upside
• Health insurance coverage
• Monthly wellness allowance including gym membership support
• Meal allowance to support daily work
• Transportation allowance for commuting or parking
• The opportunity to work with some of the best AI researchers and engineers in the world

If you're interested in learning more, feel free to reach out | [Confidential Information]