About the role
As a Senior Engineering Manager - GenAI, you'll lead a high-performing team to build and scale state-of-the-art GenAI solutions from prompt-based systems to RAG and AI agents with direct impact on healthcare operations in the US. This is a unique opportunity to combine deep technical expertise, strategic leadership, and people management in a mission-driven startup environment.
Responsibilities:
- Lead and manage a team of GenAI/NLP engineers, driving performance, growth, and collaboration.
- Define the technical roadmap for scaling GenAI applications in healthcare.
- Drive architecture and design decisions for LLM-powered, RAG, and AI agent systems.
- Oversee deployment, monitoring, and cost optimization of production AI/ML systems.
- Partner cross-functionally with product, clinical, and business teams to deliver impactful solutions.
- Ensure compliance with healthcare regulations (HIPAA, ICD-10 CPT).
- Build an inclusive, high-performance engineering culture that balances innovation and delivery.
Requirements:
- 3+ years of hands-on experience with GenAI/LLMs/deep learning.
- 2+ years of people management experience (teams of 5-10 engineers).
- Strong engineering background in Python and cloud platforms (AWS, Azure, or GCP).
- Expertise in NLP, transformers (e. g., BERT), GANs, or related architectures.
- Experience deploying production-scale AI/ML systems with monitoring and MLOps practices.
- Excellent communication skills and proven ability to influence stakeholders.
- Bonus: Experience with healthcare technology, regulated industries, or medical coding standards.