Responsibilities
- Actively works with product and engineering to design and build breakthrough AI-powered and agentic capabilities for our clients using LLMs, agentic workflows, and modern DL/ML techniques
- Design, prototype, develop, and test LLM-powered applications, agentic workflows, and predictive models using Python and modern AI frameworks to power critical product capabilities
- Work with both structured and unstructured clinical trial data, including patient reports, trial documentation, and free text notes
- Ideate, design, prototype, and develop solutions such as multi-agent workflows, RAG-based applications, document intelligence and summarization pipelines, and intelligent process automation
- Design, prototype, and develop solutions using modern AI frameworks and libraries such as LangChain, LangGraph, LlamaIndex, PyTorch, Hugging Face Transformers, and scikit-learn
- Champion AI-driven development practices across the team — using AI coding assistants and agentic dev tools to accelerate prototyping, code generation, testing, and review
- Build and maintain LLM, agentic, and ML pipelines, including prompt engineering, orchestration logic, and evaluation harnesses
- Apply relevant evaluation frameworks, guardrails, and statistical measures for performance, quality, and error analysis of AI systems
- Drive the entire workflow of multiple AI engineering projects
- Enhance the experience and efficiency of our elluminate software platform users
- Work with our Engineering team to integrate AI capabilities into our elluminate software platform
- Work with the MLOps/AIOps team to deploy LLM, agentic, and ML systems in production and to track performance, cost, and quality
- Consult with and assist our software development and biometrics teams to consume the results of these AI systems
- Ensure data quality throughout all stages of acquisition and processing
- Serve as Subject Matter Expert in Generative AI, agentic systems, and applied Machine Learning
- Keep up to date with the latest research and tooling in LLMs, agentic AI, and ML
- Educate other team members in modern AI techniques and best practices
- Publish and present work and contribute to company’s intellectual property
- Other duties as assigned
Requirements
- Bachelor’s Degree in Computer Science, Engineering, Math, Physics, or a related field
- Accomplished engineer with deep technical credibility and hands-on implementation skills building LLM-powered applications, agentic workflows, and production AI systems; familiarity with modern Deep Learning and Machine Learning techniques (transformers, RAG, fine-tuning, evaluation)
- Extensive experience shipping production software in a healthcare or life-sciences setting; comfortable working alongside clinicians and domain experts
- In-depth knowledge and experience working with healthcare and/or clinical trials data
- Expert knowledge of Python and modern AI frameworks (LangChain, LangGraph, LlamaIndex, or equivalents); proficiency with API development, system integration, and at least one major cloud platform (AWS, Azure, or GCP)
Nice to Have
- Master’s or Doctorate degree preferred
