AI​/Machine Learning Engineer

Who We Are

Citizen Health was founded on the belief — shaped by firsthand lived experiences navigating healthcare — that having the right advocate is the single most important factor in achieving better care and outcomes. By uniquely combining data, AI, and community, Citizen is building a personalized AI advocate powered by patients’ complete medical histories and data from thousands of other patients to generate personalized insights for clinical decisions and day‑to‑day challenges.

Starting in rare and complex conditions, patients share their data in exchange for value, enabling biopharma and researchers with seamless access to patients and regulatory‑grade data, shaving years off drug development for much‑needed treatments.

The Role

Citizen Health is seeking AI/Machine Learning Engineers to lead the development and deployment of cutting‑edge AI solutions that power our patient‑centric platform. This role is crucial in designing and implementing sophisticated machine learning models that transform complex health data into actionable insights for patients, healthcare providers, and researchers.

As a key technical leader, you’ll be at the forefront of applying advanced machine learning techniques to solve challenging problems in rare disease research and patient care. Your work will be instrumental in developing AI‑driven solutions that improve disease understanding, treatment recommendations, and patient outcomes.

Responsibilities

• Design and implement end‑to‑end machine learning solutions, from data preprocessing to model deployment and monitoring

• Develop and optimize agentic Large Language Models (LLMs) solutions for healthcare applications using techniques like fine‑tuning and Retrieval‑Augmented Generation (RAG)

• Create robust data pipelines for validation, and deployment

• Implement ML systems that can effectively process and analyze diverse healthcare data types, including structured clinical data, medical imaging, and unstructured text

• Collaborate with backend engineers to integrate ML models into our production infrastructure

• Ensure ML systems meet strict healthcare compliance requirements while maintaining high performance

• Design and implement monitoring systems for model performance, data drift, and system health

• Lead research initiatives to explore and implement state‑of‑the‑art AI/ML techniques

• Collaborate with clinical experts to validate model outputs and ensure medical accuracy

• Stay current with the latest developments in AI/ML, particularly in healthcare applications

Who You Are

You are a builder and problem solver at heart who loves working in fast‑paced, innovative environments. You have experience working in consumer technology companies and have also worked on products that deal with complex data and systems. You love start‑ups and can operate autonomously knowing that collaboration is the key to your success.

Must‑Have Skills

• 5 years of experience in machine learning engineering, with a focus on production ML systems

• Strong proficiency in Python and AI/LLM frameworks (Lang Chain, Lang Graph, Auto Gen, CrewAI)

• Experience designing and implementing production‑grade ML pipelines

• Proven track record of deploying ML/LLM solutions in production environments

• Strong understanding of ML fundamentals, including deep learning, NLP, and statistical modelling

• Experience with ML ops tools and practices

• Proficiency in working with large‑scale datasets and distributed computing

• Strong software engineering skills and coding best practices

• Degree in Computer Science or equivalent degree

Preferred Skills

• Hands‑on experience integrating and optimizing Large Language Models (LLMs) in production environments

• Proficiency with LLM tools and techniques such as Lang Chain, Llama Index, Prompt Engineering

• Experience implementing Retrieval‑Augmented Generation (RAG) systems

• Familiarity with vector databases and efficient similarity search techniques for AI applications

• Experience with message queuing systems and data streaming platforms

• Familiarity with data processing and analytics technologies

Proven track record of high‑quality coding and architectural design

• Passion for…