Lead AI Engineer

About the role

Gifthealth is revolutionizing healthcare by simplifying prescription and health service management. We're a dynamic, innovative, and customer-centric company focused on enhancing the healthcare experience.

Key Responsibilities

• Designs and builds agentic AI systems including LLM orchestration, RAG pipelines, and multi-agent frameworks
• Leads, mentors, and grows AI Engineers, conducting one-on-one meetings, performance reviews, and identifying career development opportunities
• Works with the Talent Acquisition team to recruit and hire AI Engineers through defining role requirements, screening candidates, and leading technical interviews
• Establishes engineering practices, coding standards, and technical processes for AI systems
• Promotes collaboration between AI Engineers, Prompt Engineers, and Product teams, ensuring alignment with organizational goals, operational excellence, and compliance standards
• Drives build/buy/integrate decisions; evaluates AI tooling and vendor solutions

Qualifications

• Education: Bachelor’s degree in computer science, AI/ML, or related field OR 2–4 years of equivalent practical experience
• Master’s degree in computer science or AI/ML (Preferred)
• Experience: 6+ years of software engineering experience with 3+ years in AI/ML systems; 2+ years of management or tech lead experience; history of building and shipping production AI systems
• Experience in healthcare or regulated industries; history of building teams from scratch; FDA or clinical trial software experience (Preferred)
• Knowledge: Knowledge of LLM architectures and orchestration patterns; RAG systems and vector databases; production AI/ML system design; software engineering best practices; and leadership and management principles
• Knowledge: Knowledge of the healthcare domain and HIPAA compliance; FDA software validation; human-in-the-loop ML systems; graph databases and knowledge graphs (Preferred)
• Skills: Python and AI/ML development skills; LLM API integration skills; system architecture and design skills; technical hiring and interviewing skills; team leadership and mentorship skills; GPU-accelerated processing skills; distributed systems skills; cloud platform (AWS, GCP) skills; ML Ops tooling skills; ability to balance hands-on building with team leadership; ability to hire and develop engineering talent; ability to drive technical decisions across teams; ability to communicate with technical and non-technical stakeholders; ability to navigate ambiguity in early-stage product development; ability to establish engineering culture and practices from scratch; ability to influence without authority across functions

Work Environment

Location: Remote
Schedule: 8:00 A.M. to 5:00 P.M. Monday through Friday with night and weekend hours on occasion as determined by the needs of the business.
Regular meetings with internal AI Engineering, Prompt Engineering, ML Engineering, Software Engineering, ML Ops Engineering, Data Science, HR, and product management teams. This role may also have meetings with AI/LLM, cloud, and ML Ops vendor and technology partner representatives.

Schedule

8:00 A.M. to 5:00 P.M. Monday through Friday with night and weekend hours on occasion as determined by the needs of the business.

Salary

$152,000 - $229,000