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Job Description
About Us
EndeavourX is an entity of the National University Health System (NUHS), on a mission to scale some of NUHS most impactful AI solutions that have been developed and validated internally over the past few years. These products drive better care, operational efficiency, and clinician wellbeing.
We're a nimble, mission-driven team with access to leading clinical experts, real-world data, and deep public healthcare partnerships.
Why Join Us
- Shape how cutting-edge AI already validated by a world-class hospital system is integrated into real clinical workflows
- Work alongside passionate clinicians, technologists, and policy thinkers
- Influence product, go-to-market, and strategy from day one
- Meaningful mission + real-world impact
Role Summary
The Senior Software Engineer is a highly hands-on role responsible for building, deploying and operating AI-enabled healthcare products at EndeavourX. The role focuses on delivering production-quality software that integrates with real-world systems and supports deployment in regulated healthcare environments, including implementing and integrating LLM-based features.
Key Responsibilities
Software Design & Development
- Own end-to-end development of backend and full-stack components for AI-enabled healthcare products.
- Translate product requirements into well-structured software designs, APIs and data flows.
- Rapidly prototype, iterate and deploy features in response to product and clinical feedback.
- Integrate applications with external systems (APIs, data sources, healthcare platforms).
Applied AI / LLM Integration
- Implement and integrate LLM-based capabilities (e.g. retrieval-augmented generation, prompt orchestration, context management) within production applications.
- Work with data scientists to operationalise model outputs, embeddings, vector search and retrieval pipelines.
- Implement data preprocessing, chunking, indexing and retrieval logic to support RAG workflows.
- Evaluate and tune LLM-based features for latency, reliability, cost and user experience in real-world use.
Deployment & Operational Delivery
- Participate directly in deployment activities, configuration and production support.
- Ensure software is reliable, observable and maintainable in real-world use.
- Support incident investigation and resolution as needed.
Quality & Regulated Delivery Support
- Follow development and documentation practices aligned with ISO 13485 / IEC 62304.
- Maintain code quality, versioning, traceability and documentation required for regulated products.
- Participate in design reviews, risk discussions and change assessments related to clinical safety and system reliability.
Collaboration
- Work closely with the Cloud Architect, data scientists and product stakeholders to deliver end-to-end solutions.
- Review code, contribute to technical discussions and support continuous improvement of engineering practices.
- Support coordination with external development teams when required.
Job Requirements
Experience & Skills
- 5–8 years of professional software development experience.
- Strong proficiency in at least one major programming language (e.g. Python, JavaScript/TypeScript, Java).
- Experience deploying applications in cloud environments (AWS preferred).
- Experience working across the full software lifecycle, including production support.
- Experience implementing or integrating LLM-based features (e.g. RAG pipelines, embeddings, vector databases, prompt engineering).
- Familiarity with applied machine learning concepts (e.g. model inputs/outputs, evaluation metrics, data preprocessing).
- Experience working within quality systems or regulated development environments preferred.
- Experience in healthcare, medtech, digital health or other related domains is an advantage.
More Info
Key Skills
embeddings
applied machine learning concepts
LLM-based features
vector databases
RAG pipelines
prompt engineering
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