Software Engineer (AI System)

Development, deploy and maintain AI systems and services in the healthcare domain to find more untreated patients

London Technical

share this

Pangaea Data (Pangaea) is a South San Francisco and London based business founded by Dr Vibhor Gupta and Prof Yike Guo (Director Data Science Institute at Imperial College London; Provost, Hong Kong University of Science and Technology). They have worked in medicine and computing for over 20 years and have raised over$300 million through their academic research, including a $110 million grant focused on development work on large language models in medicine. Pangaea’s AI platform, PALLUX, is configured on clinical guidelines to find more untreated (undiagnosed, miscoded, at-risk) and under-treated patients with hard-to-diagnose conditions for screening and treatment at the point of care. Pangaea’s advisors include industry veterans from healthcare and the life sciences, including Lord David Prior (former chairman, NHS England) and Mr. Andy Palmer (former CIO, Novartis).

The Role

Pangaea Data is looking for talented engineers to join its technical team and focus on the development, deployment, and maintenance of AI systems and services in the healthcare domain. The ideal candidate is a strong team player with a software engineering background and experience in deploying AI-based solutions.

Key Responsibilities

Technical Responsibilities:

• Design and develop backend systems that integrate healthcare AI/LLM modules for tasks such as data extraction, summarization or decision support.
• Design and implement systems that integrate with the client side such as Web UI or EHR system.
• Implement and maintain CI/CD pipelines for automating deployment, testing, and monitoring processes.
• Work on deploying AI models as scalable microservices using containers and orchestration tools like Docker and Kubernetes.
• Manage cloud-based AI deployments on Azure platform or other cloud platform or on-prem.

This role will also work closely with internal teams to:

• Work closely with AI engineers, clinicians, scientific, and product teams to ensure that deployed tools meet functional and non-functional requirements.
• Understand the users they engage with and the problems, pain points and requests they are seeing.
• Clearly communicate our roadmap and product changes in advance of their launch.
• Run early rounds of internal feedback gathering, before we launch to users.
• Understand how our internal tooling can be improved for internal users.
• Understand the high-level company vision and goals, and make sure these are reflected in ongoing product development.

Requirements

Technical Skills:

• With university qualification (Bachelors, Masters, Doctorate) who have completed at least two years of university study in Computer Science, Informatics, Data Science, Engineering, or related.
• 3+ years of large-scale commercial software engineering experience with a focus on backend development.
• Hands-on experience with CI/CD tools (e.g. GitHub Actions, Azure Pipelines).
• Familiarity with containerization (Docker)
• Understanding of RESTful APIs and microservices architecture.
• Experience with AI/ML-related tools and libraries (e.g., Hugging Face, LangChain, PyTorch) preferred
• A strong intuition for what makes products a joy to use.
• Empathy for how different users will need different things out of a product at different stages, and how to effectively serve these different needs in one product.
• Strong communication and mediation skills.
• Strong people skills and the ability to engage all levels of the organization (especially the front line).
• Ability to work collaboratively in a team environment.
• Ability to communicate complex ideas effectively, both verbally and in writing, in English.
• A strong software engineering background with machine learning expertise to understand how the user facing product will tie into backend and architectural decisions.

Nice to Have:

• Experience in software engineering in healthcare and pharmaceutical domains.
• Experience in data pipelines and engineering in healthcare and pharmaceutical domains.
• Strong knowledge and experience in AI/LLM.

Perks and Benefits

• Salary depending on experience.
• Benefits include private medical insurance, life insurance and travel cards.
• You would join a small, dedicated and fast-growing team.
• You will have the opportunity to learn about building a startup business from experienced professionals and serial entrepreneurs.
• We are currently supported by serial entrepreneurs and angel investors. You will have the opportunity to experience an investment life cycle for a startup and meet leading venture capitalists.

Pangaea Data’s headquarters is in London (UK) with teams in San Francisco (US) and Hong Kong. For more information please visit www.pangaeadata.ai .

Pangaea Data is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.

#J-18808-Ljbffr