Would you like to work with a phenomenal startup team developing a healthcare platform that facilitates meaningful engagement across care teams? If so, you have an opportunity to activate patient based interventions to prevent hospital readmissions and promote long-term health for patients.
We are seeking an AI Engineer to focus on integrating (and fine-tuning) AI/ML models, to extract, transform, and structure clinical data from various sources, such as PDFs generated from EMR/EHR systems. You will leverage these models and integrate them into our platform to ensure seamless data extraction, transformation and outputs while adhering to healthcare regulations.
Key Responsibilities
- Model Integration: Integrate existing pre-trained (or fine tune) AI models, including NLP and LLMs, into the platform to extract relevant data from structured and unstructured sources (e.g., PDFs, clinical documents).
- Data Transformation: Develop workflows to transform extracted data into structured formats that can be used within our clinical data platform (PostgreSQL).
- API Management: Work with third-party AI model providers (e.g., OpenAI, AWS, Google) to ensure smooth and efficient integration of LLMs and other AI tools.
- Prompt Engineering: Crafting and optimizing prompts for LLMs to ensure accurate and contextually relevant data extraction and transformation.
- Performance Optimization: Ensure that integrated models are optimized for performance, with a focus on accuracy, speed, and scalability to handle large datasets.
- Compliance & Security: Ensure that all AI integrations and data handling are compliant with healthcare regulations, such as HIPAA, while ensuring the security of sensitive patient data.
- Collaboration with Engineers: Work closely with Application Engineers to integrate AI-driven data extraction into the platform’s backend and ensure proper data flow.
Experience
- Minimum 3+ years of experience in AI/ML integration, with a focus on using pre-trained models (or fine-tuning LLMs) and APIs for NLP, LLMs, and data extraction and output techniques.
- Technical Expertise:
- Proficiency in Python (or JS) and experience working with APIs for AI/ML services (OpenAI, Anthropic, AWS SageMaker, Google Gemini, etc.).
- Experience with NLP and LLM integration for data extraction and transformation tasks.
- Familiarity with OCR technologies for converting unstructured text (e.g., PDFs) into structured data.
- Data Management: Working Knowledge of healthcare data standards (HL7, FHIR) and how to transform extracted data into usable formats for clinical data platforms.
- Regulatory Knowledge: Understanding of HIPAA compliance and best practices for handling sensitive healthcare data in AI pipelines.
- Education: Bachelor’s degree (B.A. or B.S.) in Computer Science, Data Science, Biomedical Informatics, or a related technical field required; Master’s or Ph.D. preferred — or equivalent experience.