WHAT YOU’LL DO:
- Develop and enhance AI-powered applications that support healthcare and life sciences innovation.
- Ensure applications meet performance, scalability, and security standards, troubleshooting issues as needed.
- Integrate AI/ML technologies, including Natural Language Processing (NLP), Large Language Models (LLMs) and vector databases, into software solutions.
- Collaborate in an agile environment with cross-functional teams to align technical solutions with business needs.
- Participate in architectural and design discussions, providing input to ensure scalable, reliable, and secure solutions.
- Write clean, testable, and maintainable code following CI/CD and DevOps best practices.
- Contribute to automation efforts across testing, integration, and deployment pipelines.
- Share knowledge with peers and provide informal mentorship to junior engineers.
- Proactively identify opportunities for improving system performance and addressing technical debt.
WHAT YOU’LL NEED:
- 4+ years of experience in software development, ideally with exposure to AI/NLP-based applications.
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or a related field.
- Proficiency in Java, Python, and JavaScript, with experience in frameworks such as Spring (IOC, Security, Boot) and frontend frameworks like React or Angular.
- Hands-on experience with cloud platforms (AWS/Azure), containerization (Docker, Kubernetes), and Infrastructure-as-Code (Terraform).
- Strong knowledge of relational databases (MySQL/PostgreSQL), performance optimization, and indexing strategies.
- Experience with Redis and Elasticsearch, including use in high-performance systems.
- Familiarity with AI/ML applications, including LLM integration and prompt engineering.
- Understanding of modern security practices, such as JWT and Zero Trust principles.
- Exposure to service governance (e.g., Sentinel, Seata) and feature flag tools (e.g., LaunchDarkly) is a plus.
- Strong problem-solving skills with the ability to balance technical quality and delivery needs.
- Collaborative mindset with the ability to work across teams and contribute to a culture of continuous learning.
NICE TO HAVE:
- Experience in healthcare, clinical data, or life sciences NLP use cases.
- Exposure to MLOps tools (e.g., SageMaker, Airflow, CI/CD workflows).
- Experience with cloud platforms (AWS, Azure).
- Contributions to open-source or academic research.
Top Skills
What We Do
We are a team of dedicated clinical terminologists, data scientists, industry subject matter experts, and informaticists who helped facilitate the evolution from analogue to digital capture of clinical events, the precise code-mapping that simplifies complex workflows, and the translation of unstructured into structured data. We “wrote the digital dictionary” used in every major EHR, and we are leveraging clinical AI to generate insights that expand and deepen our impact across the healthcare ecosystem.
At the end of the day, we don’t make decisions for our clients. We provide them with the digital tools to enable sound decision-making.
Why Work With Us
We are building a clinical intelligence stack—medical ontology, human expertise, and AI—that makes data more useful and more powerful. By enhancing data’s structure, richness, and precision, we reduce noise and error, streamline complexity, and create clarity across the clinical information chain.
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