Lead AI Engineer

Responsibilities

• Lead a small team of AI engineers and guide their development on project tasks.
• Design, develop, and prototype AI/LLM solutions for real-world clinical workflows.
• Collaborate closely with Product Managers and cross-functional teams to implement innovative AI solutions.
• Mentor junior engineers and support skill development and productivity.
• Stay up to date with cutting-edge AI/ML research and apply relevant advances to projects.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field.
• 6+ years of software engineering experience, including 3+ years leading AI/ML initiatives, products, or teams.
• Strong programming skills in Python and at least one additional language such as Java, C++.
• Hands-on experience with Generative AI, LLMs, RAG, AI agents, model evaluation, and related AI technologies.
• Experience building, deploying, and maintaining AI systems in production environments.
• Proven ability to lead technical initiatives, drive architectural decisions, and mentor engineers.
• Strong communication and collaboration skills, with the ability to work cross-functionally with Product, Engineering, and business stakeholders.
• Comfortable working in a fast-paced startup environment with ambiguity and evolving priorities.

Nice-to-Have

• Experience in clinical workflows, clinical trials, or life sciences applications.
• Data analysis, cloud development, or distributed systems experience.
• Experience deploying AI solutions in production.