Applied AI, Software Engineer

Applied AI, Software Engineer (Full-Stack / GenAI Systems)

Location | Singapore (Hybrid)

Comp | Highly Competitive + Equity

Focus | GenAI Applications, Full-Stack Systems, LLM Integrations, Customer Deployments

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 across Europe, the US and Asia, they are now expanding their Applied AI Engineering group in Singapore, hiring engineers who can help organisations integrate cutting-edge AI technology directly into their products and workflows.

This is a rare opportunity to work closely with frontier AI models while building real-world applications, helping some of the world's most ambitious organisations integrate LLMs, generative AI systems, and intelligent applications into production environments.

About The Role

As an Applied AI Engineer, you'll work at the intersection of software engineering, AI deployment, and customer collaboration, helping organisations design and build production systems powered by state-of-the-art AI models.

You'll partner with customers across multiple industries, working from early architecture design through to production deployment, ensuring AI systems integrate seamlessly into real-world products and workflows.

This role combines full-stack software engineering with AI system integration, and is ideal for engineers who enjoy building real products, solving complex technical challenges, and working closely with customers and technical leaders.

Examples of the types of challenges you might tackle

• Building full-stack applications powered by large language models and generative AI systems
• Designing scalable back-end services and APIs to integrate AI models into production systems
• Developing front-end interfaces that enable users to interact with AI-powered products
• Collaborating with customers to design and implement complex AI-driven workflows
• Deploying AI-powered applications across enterprise infrastructure and cloud environments
• Working with research and product teams to translate cutting-edge AI models into usable software

What You'll Do

• Build AI-powered applications: Design and develop full-stack systems that integrate generative AI models into real-world products.
• Collaborate with customers: Work closely with engineers and technical leaders to design solutions and support AI adoption across their products.
• Develop production systems: Build scalable back-end services, APIs, and front-end interfaces that enable AI capabilities within customer applications.
• Bridge product, research, and deployment: Collaborate with research and product teams to integrate new model capabilities into practical production environments.
• Shape the future of AI products: Provide feedback from real-world deployments to help improve AI models, tools, and developer workflows.

What We're Looking For

• 4+ years of experience as a software engineer working on modern web or backend systems
• Strong coding ability in Python and TypeScript
• Experience building full-stack applications using frameworks such as React, Next.js, Vue.js, or similar
• Experience working with backend systems and APIs (Node.js or similar)
• Strong understanding of software engineering fundamentals including data structures, algorithms, and system design
• Experience building and shipping production software used by real users
• Strong communication skills and ability to collaborate with both technical and non-technical stakeholders

You'll Likely Thrive Here If

• You enjoy building real products using cutting-edge technology
• You like working across frontend, backend, and AI systems
• You enjoy collaborating directly with customers and solving complex problems
• You're comfortable operating in fast-moving, high-impact engineering environments
• You want to work on AI systems that deliver meaningful real-world impact

Nice to Have

• Experience working with LLMs or generative AI models
• Experience contributing to open-source projects
• Experience in roles such as Forward Deployed Engineer, Customer Engineer, Solutions Architect, or Technical Product Manager
• Experience integrating AI capabilities into production software products

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]