Experience:

• 3+ years of hands-on experience with LLMs/GenAI (GPT, Claude, Llama, PaLM, etc.)
• 3+ years overall in data science/ML engineering

Responsibilities:

• Design and implement GenAI solutions for medical report understanding and code mapping using LLMs and prompt engineering
• Build and optimise Retrieval Augmented Generation (RAG) systems for accurate medical coding
• Develop and deploy AI agents for multi-speciality medical coding automation
• Evaluate, benchmark, and select foundation models (GPT, Claude, Llama, etc.) for healthcare use cases
• Implement cost-effective, production-ready GenAI architectures with monitoring and observability
• Transform existing rule-based systems into GenAI-powered solutions while maintaining accuracy and compliance
• Collaborate with clinical teams to ensure outputs align with healthcare standards and regulations (HIPAA, ICD-10 CPT, SNOMED-CT)
• Conduct A/B testing, model evaluation, and continuous performance optimisation
• Stay updated with latest GenAI/LLM research and integrate relevant techniques into production

More skills:

Machine Learning, NLP, Python, OpenAI APIs, Anthropic APIs, Healthcare NLP, Medical coding, Medical terminologies, Weaviate, Chroma, Production deployment, Scaling, Monitoring, Cost optimisation, MLOps

Other:

• Founded in 2020
• Company size: 10 - 50 employees
• Backed by YCombinator
• Focus on reducing administrative hassles and maximizing revenue for healthcare providers
• Culture of inclusion, empowerment, accountability, and fun
• Interview process includes online coding test and in-person technical rounds with senior engineers and leadership
• Benefits include exceptional total compensation and leading healthcare benefits
• Work with a world-class team on forward-looking healthcare problems
• Fast-growing, interactive, and adaptive work culture fostering professional growth and ownership