AI Engineers

Pangaea Data Limited; Greater London; Hybrid; GBP 85,000 - 120,000; Full time

Benefits offered by this job

Private medical insurance

Life insurance

Travel cards

Job summary

Pangaea Data Limited is seeking an AI Engineer to build and productise LLM and agent capabilities within its AI Platform. You will own problems from definition to deployment, turning patient notes, FHIR data and clinical guidelines into structured outputs and integrating tools and retrieval workflows.

You will work with clinicians to ensure clinical interpretation and approval, while shipping production-grade Python services and APIs across data pipelines and backend systems.

Qualifications

• Solid foundation in production LLMs with specialization in agent/backend architectures or clinical data analytics
• Strong Python and software engineering skills with typed data models, APIs and automated testing
• Experience shipping LLM-enabled software used by real users or teams
• Experience with hosted LLM APIs, structured outputs, tool use, retrieval-augmented generation and context management
• Experience with databases, search or data-processing systems and diagnosing behavior across service boundaries
• Rigorous approach to evidence, provenance and safe failure in high-stakes domain
• Degree in computer science, engineering, data science or related field, or equivalent practical experience

Responsibilities

• Collaborate with clinicians and stakeholders to translate clinical problems into explicit data contracts, system behavior and success measures
• Design and ship LLM and agent workflows for evidence extraction, retrieval, reasoning and dialog experiences
• Build robust LLM integrations using structured outputs, schema validation and tool calls
• Develop retrieval and data pipelines across structured data and free text, preserving provenance
• Create evaluation datasets and regression checks for prompts, models and provider changes
• Instrument traces, latency, token use and cost, with timeout, retry and caching strategies
• Productise capabilities as maintainable Python services and APIs and monitor impact post-release
• Integrate AI capabilities with data, backend and frontend systems and contribute to architecture and code review
• Gather early feedback from clinicians and users to drive quality improvements

Skills

Python

LLM integrations

APIs

Software engineering

Data pipelines

Education

CS degree or related field

Tools

FastAPI

Pydantic

MongoDB

Elasticsearch

Job description

About Pangaea Data

Pangaea Data (Pangaea) is a provider of a clinically validated AI platform that proactively uncovers care gaps, which cannot be pre-empted or prompted for because they are unknown, thereby delivering reliable, actionable insights that enable earlier intervention, improve quality and patient safety, and make advanced clinical decision support accessible across both high and low resource settings. Pangaea’s founders Dr Vibhor Gupta and Prof Yike Guo (Director Data Science Institute at Imperial College London; Provost, Hong Kong University of Science and Technology)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. Their 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 is looking for a skilled AI Engineer to build and productise LLM and agent capabilities in Pangaea’s AI Platform. This is an applied product engineering role rather than primarily a model-training or research position.

You will own capabilities from problem definition through implementation, evaluation, release and monitoring. Typical work includes turning patient notes, FHIR data and clinical guidelines into evidence-grounded structured outputs; building retrieval, reasoning, and tool-using agents; and combining probabilistic models with deterministic clinical logic. You will work closely with clinicians, who remain the authority on clinical interpretation and approval.

Key Responsibilities

• Collaborate with clinicians and product stakeholders to translate clinical problems into explicit data contracts, system behaviour and success measures.
• Design and ship LLM and agent workflows for clinical evidence extraction, retrieval, reasoning, patient identification, guideline-driven review and conversational experiences.
• Build robust LLM integrations using structured outputs, schema validation, tool calling, bounded context and explicit workflow state.
• Develop retrieval and data pipelines across structured clinical data and free text, preserving provenance and links to supporting evidence.
• Create evaluation datasets and regression checks for prompt, model and provider changes, combining automated assessment with clinician review where appropriate.
• Instrument traces, failures, latency, token use and cost, and implement suitable timeout, retry, rate-limit, concurrency and caching behaviour.
• Productise capabilities as maintainable Python services and APIs, delivering small improvements regularly and monitoring their impact after release.
• Integrate AI capabilities with data, backend and frontend systems and contribute to architecture, code review and documentation.
• Gather early feedback from clinicians and internal users and use production telemetry to improve quality and usability.
• Communicate technical trade-offs, limitations, roadmap decisions and product changes clearly before launch.

Requirements

While expertise across all areas is not required, ideal candidates will possess a solid foundation in production LLMs, complemented by deep specialization in either agent and backend architectures or clinical data analytics and model evaluation.

Technical Skills

• Demonstrated experience shipping LLM-enabled software used by real users or operational teams.
• Strong Python and software engineering skills, including typed data models, APIs, automated testing and maintainable system design.
• Hands-on experience with hosted LLM APIs, structured outputs, tool use, retrieval-augmented generation, context management and model limitations.
• Experience evaluating non-deterministic systems using representative datasets, explicit metrics, failure analysis and regression testing.
• Experience with databases, search or data-processing systems and diagnosing behaviour across service boundaries.
• A rigorous approach to evidence, provenance, ambiguity and safe failure in a high-stakes domain.
• A degree in computer science, engineering, data science or a related subject, or equivalent practical experience.

Personal Traits

• 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
• 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 with FHIR R4, HL7, LOINC, SNOMED CT or longitudinal clinical data.
• Experience in healthcare, life sciences or another regulated or safety-sensitive domain.
• Familiarity with FastAPI, Pydantic, MongoDB, Elasticsearch, hybrid or vector search, LangGraph or similar agent frameworks.
• Experience with Azure or AWS, containers, on-premise deployments, multi-tenant systems, privacy controls or audit logging.
• Experience with embeddings, fine-tuning, open-source models or applied research when these are the right tools for a product problem.

Perks and Benefits

• 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.
• Pangaea is 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.

General Information

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.

Waterloo, London, UK

Full-time