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For Companies At a Glance
- Tasks: Design and develop innovative AI systems for patient engagement and clinician tools.
- Company: Early-stage health AI company revolutionising cardiometabolic care.
- Benefits: Competitive salary, equity participation, and a dynamic work environment.
- Why this job: Shape the future of healthcare with cutting-edge AI technology.
- Qualifications: 2+ years in AI/ML engineering or strong project experience for recent graduates.
- Other info: Collaborate with a world-class team and tackle critical public health challenges.
The predicted salary is between 36000 - 60000 £ per year.
The Challenge Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for a variety of neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models.
The Opportunity This is a ground-floor opportunity to shape the future of AI-driven population health management at Onsera Health. Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera (Acquired by Pfizer), Areteia Therapeutics, and Corsera Health—we're building the future of population health. As an AI Engineer, you'll be core to designing and developing patient-facing agentic AI systems. You'll work closely with the Clinical and Product teams to operationalize production-grade agentic workflows, design experiments, and rigorously evaluate model performance to ensure impact and safety. You'll build voice-based intake workflows, patient engagement systems, clinician-facing tooling and more.
Responsibilities
- Design and develop patient-facing agentic AI systems, including voice-based intake workflows, patient engagement tools, and clinician-facing applications
- Build and deploy production-grade agentic workflows using LLMs, ensuring reliability, safety, and clinical appropriateness
- Design experiments and rigorously evaluate model performance across accuracy, latency, safety, and user experience metrics
- Partner closely with Clinical, Product, and Engineering teams to translate clinical requirements into robust AI solutions
- Communicate technical approaches and findings to both technical and non-technical stakeholders through clear documentation and presentations
What we offer
- Mission-driven work addressing critical public health and healthcare economics challenges
- Ground-floor opportunity to shape a breakthrough healthcare AI solution
- Partnership with a world-class team of venture capitalists, innovators, technologists, bioscientists, and clinicians from PHP and beyond
- A fast-paced, dynamic, and highly collaborative work environment
- Competitive salary and benefits package, including participation in our equity program
Minimum qualifications
- 2+ years of experience in AI/ML engineering, software engineering with ML focus, or a related field (exceptional recent graduates with strong project experience or research welcome)
- BS or MS in Computer Science, Machine Learning, Mathematics, or a related quantitative discipline
- Strong Python proficiency and hands-on experience building with LLMs (prompt engineering, RAG, function calling, agent frameworks)
- Experience with agent orchestration frameworks (e.g., LangGraph)
- Strong software engineering fundamentals such as writing clean code, version control, testing
- Excellent communication skills and comfort working in fast-paced, cross-functional teams
Preferred qualifications
- Experience building voice AI or conversational AI systems
- Experience with patient-facing systems
- Familiarity with cloud infrastructure (GCP, AWS, or Azure)
- Exposure to evaluation and safety tooling for LLM-based systems (guardrails, human-in-the-loop review)
About the Venture We are an early-stage health AI company revolutionizing cardiometabolic care and economics. Our unique position within the PHP ecosystem provides:
- Venture Track Record: A proven track record of success in incubating innovative biotech and healthcare companies
- Deep Capital: Funding runway and resourcing to support deep technological/scientific R
Artificial Intelligence Engineer employer: Onsera Health
Contact Detail:
Onsera Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI and healthcare sectors, especially those connected to Onsera Health. Attend industry events or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might help you land that interview!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially any voice-based or patient-facing systems you've worked on. This is your chance to demonstrate your hands-on experience with LLMs and agent orchestration frameworks. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML fundamentals. Practice coding challenges and be ready to discuss your past projects in detail. Remember, they want to see how you think and solve problems, so be ready to showcase your thought process!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our mission-driven team at Onsera Health. Don’t miss out on this ground-floor opportunity!
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with AI/ML, especially any projects that relate to patient-facing systems or voice AI. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in healthcare and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on relevant projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we want to see your hands-on experience with LLMs and agent orchestration frameworks.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Onsera Health
✨Know Your AI Stuff
Make sure you brush up on your AI/ML knowledge, especially around LLMs and agent orchestration frameworks. Be ready to discuss your hands-on experience with Python and any projects you've worked on that relate to voice AI or conversational systems.
✨Understand the Mission
Get familiar with the challenges of cardiometabolic conditions and how AI can play a role in addressing them. Showing that you understand the mission of the company will demonstrate your genuine interest and alignment with their goals.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions. Prepare to explain your approach to building production-grade workflows and how you evaluate model performance. Practise articulating your thought process clearly, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Show Your Collaborative Spirit
Since this role involves working closely with Clinical, Product, and Engineering teams, be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and adaptability in fast-paced environments to show you're a team player.