Software Development Engineer
Role details
Job location
Tech stack
Job description
We are looking for a Software Development Engineer to join the Applied AI Science team, delivering Agentic AI solutions for complex, real-world use cases. You will contribute to Python-based production services, help mature evaluation and testing practices, and collaborate with engineers and domain experts to improve quality and reliability - delivering Healthcare-grade AI capabilities where precision, trust, and patient safety are non-negotiable. We value an empirical, evidence-driven approach to working with AI systems - treating generated outputs as hypotheses to be validated rather than results to be trusted. In domains where the accuracy and traceability of AI outputs genuinely matter, that discipline is essential. You will join at an early and formative stage of the products you work on, where foundational decisions about evaluation, testing, and production readiness are still being shaped. If you are energised by taking an emerging offering forward and helping shape how it scales and matures, this is the right environment Essential Functions
- Contribute to the design, development, and testing of Python-based components within production Agentic AI solutions
- Evaluate AI-generated outputs critically - cross-check results against source data, identify failure modes, and contribute to improvements in reliability, quality, and explainability, including contributing to evaluation frameworks as they are built out
- Build and improve functionality that operates reliably within a service-oriented environment, with well-defined interfaces and predictable behaviour (e.g. API-driven components, task-based or agentic workflows)
- Translate complex data requirements and decision logic into clear, maintainable implementations with appropriate test coverage
- Investigate data quality issues, edge cases, and inconsistencies in both source data and system outputs, and define appropriate handling strategies within the product
- Collaborate with engineers, product owners, and domain experts within an Agile Scrum team to refine requirements, surface trade-offs, and deliver incremental value
- Contribute to testing, debugging, and documentation, ensuring the system is understandable, maintainable, and outputs can be reviewed with confidence
Requirements
Do you have experience in Web services?, Do you have a Master's degree?, * BSc/MSc in Computer Science, Data Science, Mathematics, Physics, or a related field
- Proficiency in Python for production software development, with familiarity with modern tooling and code quality practices
- Experience contributing to deployed applications, services, or APIs (e.g. web services, data pipelines, or AI-driven workflows)
- At least 6 months of hands-on experience developing AI-enabled solutions (e.g. generative AI features, LLM-based applications, or other data-driven systems)
- Experience working within an Agile Scrum team, with familiarity with standard ceremonies and collaborative delivery practices
- Strong analytical and problem-solving skills
Advantageous
- Familiarity with agentic frameworks such as LangGraph or LangChain
- Experience with OpenAPI-first or contract-driven API development
- Familiarity with structured output patterns for LLMs (e.g. Pydantic-based schemas)
- Familiarity with container-based or cloud-native environments (e.g. Docker, Kubernetes, AWS, or Azure)
- Experience working with regulated, sensitive, or high-stakes data where output accuracy and auditability are important (e.g. healthcare, life sciences, financial services)
Experience Range
- 2 to 5 years in software development, data science, or AI engineering