Generative AI Engineer

RESMED ASIA PTE. LTD.; Singapore; On-site; SGD 75,000 - 100,000; Full time

Job summary

A leading medical technology firm in Singapore is seeking a Generative AI Engineer to design and deploy innovative AI workflows on AWS. You will improve efficiency for teams and modernize systems while collaborating closely with engineers and QA specialists. Ideal candidates have over 2 years of experience in software engineering, with proficiency in AI frameworks and AWS serverless technologies. The role offers a dynamic, high-impact environment where creativity and problem-solving are key to success.

Qualifications

• 2+ years of software engineering experience, with generative AI solutions.
• Strong product sense and stakeholder engagement skills.
• Knowledge of FDA regulations is a plus.

Responsibilities

• Design and deploy Generative AI solutions to improve efficiency.
• Optimize AWS serverless infrastructure and analytics pipelines.
• Collaborate with engineers and QA teams to translate business needs.

Skills

Software engineering

Generative AI development

Collaboration

Problem-solving

Education

Relevant Engineering or Science degrees (Software, Computer)

Tools

.NET

AWS serverless (Lambda, API Gateway)

Data analytics (Glue, Athena)

AI frameworks (PyTorch, Hugging Face)

Job description

At Resmed, we’re shaping the future of digital health and medical technology — and we’re looking for an engineer who’s ready to push boundaries with Generative AI.

As a Generative AI Engineer, you won’t just write code. You’ll design, build, and deploy intelligent workflows on AWS that transform the way our engineers, QA specialists, and regulatory teams work. From modernizing legacy systems to automating testing and compliance, your AI solutions will directly improve how life‑changing medical technology gets delivered to millions worldwide.

You’ll thrive if you’re excited about solving complex problems, comfortable working independently, and energized by collaborating with a small, high‑impact team that values creativity, speed, and real‑world results.

Let's talk about What You’ll Do

• Build Next‑Gen AI Workflows: Design and deploy Generative AI solutions that eliminate repetitive work, boost efficiency, and free teams to focus on what matters most.

• Modernize Systems: Bring cutting‑edge AI into Resmed’s tech stack — from fine‑tuning LLMs with data flywheels to integrating with MCP servers.

• Spot High‑Value AI Opportunities: Identify the projects where AI will deliver the most impact, balancing customer needs, cost, and scalability.

• Partner with Experts: Work side‑by‑side with engineers, QA teams, and regulatory specialists to translate business needs into technical solutions.

• Engineer for Scale: Optimize AWS serverless infrastructure and analytics pipelines to keep workflows secure, scalable, and cost‑effective.

• Innovate & Iterate: Take ownership of projects end‑to‑end, adapt quickly based on feedback, and help teammates succeed along the way.

Let's talk about What You Bring

• Experience: 2+ years of software engineering, with hands‑on experience developing and deploying generative AI solutions.

• Relevant Engineering or Science degrees (Software, Computer)

• Technical Strength: Proficiency in .NET, AWS serverless (Lambda, API Gateway), data analytics (Glue, Athena), and AI frameworks (PyTorch, Hugging Face).

• AI Expertise: Familiarity with multi‑agent systems, model fine‑tuning, and building data flywheels.

• Collaboration Skills: Strong product sense, ability to engage stakeholders directly, and communication skills that make complex concepts clear.

• Problem‑Solving Drive: You know how to design AI systems that are not just powerful but practical, measurable, and safe.

Nice to Have

• UI/UX or frontend development (React, JavaScript) experience.

• Familiarity with JAMA or requirements management tools.

• Knowledge of FDA regulations, medical device testing, or integrating AI with hardware systems.

What Success Looks Like

• Secure, scalable AI workflows live on AWS, transforming engineering, QA, and compliance.

• Significant reductions in engineering effort and error rates through AI‑powered automation.

• Production‑ready AI tools — from fine‑tuned models to multi‑agent systems — integrated seamlessly into Resmed’s internal ecosystem.