Description

About Us

At Gifthealth, we're revolutionizing the way people experience healthcare by simplifying the process of managing prescriptions and health services. Our mission is to provide a seamless, personalized, and efficient healthcare experience for all our customers. We're a dynamic, innovative, and customer-centric company dedicated to making a positive impact on people's lives.

Position Summary

Reporting to the Director of AI Engineering, the Lead AI Engineer is responsible for building, managing, and scaling Gifthealth's AI engineering function. This position combines hands-on technical work with team leadership: architecting and implementing agentic AI systems while building, developing, and leading a team of AI Engineers. The Lead AI Engineer drives technical decisions across LLM orchestration, RAG pipelines, and production AI infrastructure, while establishing engineering practices, R&D functions, and growing team capabilities.

We are seeking a Lead AI Engineer to partner ML Engineers, Prompt Engineers, and Product teams, ensuring alignment with organizational goals, operational excellence, and compliance standards.

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
Partners with ML Engineers, Prompt Engineers, and Product on cross-functional AI initiatives
Drives build/buy/integrate decisions; evaluate AI tooling and vendor solutions

Qualifications

Education:
Bachelor’s degree in computer science, AI/ML, or a related field OR 2–4 years of equivalent practical experience (Required)
Master’s degree in computer science or AI/ML (Preferred)
Licensure/Certification: None
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 (Required)
Experience in healthcare or regulated industries; history of building teams from scratch; FDA or clinical trial software experience (Preferred)
Knowledge, Skills, & Abilities:
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 (Required)
Knowledge of the healthcare domain and HIPAA compliance; FDA software validation; human-in-the-loop ML systems; graph databases and knowledge graphs (Preferred)
Python and AI/ML development skills (Required)
LLM API integration skills (Required)
System architecture and design skills (Required)
Technical hiring and interviewing skills (Required)
Team leadership and mentorship skills (Required)
GPU-accelerated processing skills (Preferred)
Distributed systems skills (Preferred)
Cloud platform (AWS, GCP) skills (Preferred)
ML Ops tooling skills (Preferred)
Ability to balance hands-on building with team leadership (Required)
Ability to hire and develop engineering talent (Required)
Ability to drive technical decisions across teams (Required)
Ability to communicate with technical and non-technical stakeholders (Required)
Ability to navigate ambiguity in early-stage product development (Preferred)
Ability to establish engineering culture and practices from scratch (Preferred)
Ability to influence without authority across functions (Preferred)

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.

Key Essential Functions

Must be able to remain in a stationary position for extended periods while writing or reviewing documentation
Must be able to work on a computer for the entire shift
Must be able to attend virtual meetings with cross-functional teams

Employment Classification

Status: Full-time
FLSA: Exempt

Equal Employment Opportunity (EEO) Statement

Gifthealth is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. All employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, transgender status, national origin, age, disability, veteran status, or any other legally protected status.

We celebrate diversity and are committed to creating an inclusive environment for all employees. If you do not meet every requirement but still feel you would be a great fit for this role, we encourage you to apply!

Disclaimer

This job description is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of all responsibilities, duties, or skills required of personnel. Gifthealth reserves the right to modify job duties or descriptions at any time.

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