AI Augmented Developer
Core
Develop software solutions using agentic AI tools and AI Ops to accelerate the software development lifecycle, or design and deploy data pipelines and ML architectures (LLMs, RAG, vector search) grounded in real clinical data for healthcare organizations.
Role type
AI Augmented Developer (Software Engineering & ML Engineering)
Builds
Software solutions, AI features, data pipelines, and ML architectures for healthcare delivery.
Domain
Healthcare technology, B2B enterprise solutions, regulated environments.
Deliverable
production ML models | product features | infrastructure
Required skills
Object-oriented programming, algorithmic logic, agentic AI tools usage, AI Ops, systems integration, cloud environments, AI feature development, ability to learn quickly, autonomy.
Preferred skills
Experience in regulated environments, B2B enterprise solutions.
Technologies
Agentic AI tools, AI Ops, LLMs, RAG, vector search, cloud environments.
Responsibilities
Use AI tools to develop faster and automate low-value tasks; design and deploy data pipelines and ML architectures in production; integrate models into real operational workflows; contribute to the evolution of existing solutions through new features and modernization; adopt and share AI-assisted development best practices.
Seniority
Mid-level to Senior, hands-on IC