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Lead AI Engineer
GifthealthLead AI Engineer at Gifthealth responsible for architecting agentic AI systems and managing AI engineering teams. Oversee technical decisions and establish engineering practices in AI development.
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Designing and building agentic AI systems including LLM orchestration, RAG pipelines, and multi-agent frameworks
- Leading, mentoring, and growing AI Engineers
- Conducting one-on-one meetings, performance reviews, and identifying career development opportunities
- Establishing engineering practices, coding standards, and technical processes for AI systems
Requirements
What you’ll need- Bachelor’s degree in computer science, AI/ML, or a related field OR 2–4 years of equivalent practical experience (Required)
- 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)
- Knowledge of LLM architectures and orchestration patterns
- RAG systems and vector databases
- Production AI/ML system design
- Python and AI/ML development skills (Required)
- LLM API integration skills (Required)
Benefits
Comp & perks- Health insurance
- 401(k) retirement plan
- Paid time off
- Flexible work arrangements
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI systems designLLM orchestrationRAG pipelinesmulti-agent frameworksPythonAI/ML developmentLLM API integrationproduction AI systemsvector databasessoftware engineering
Soft Skills
leadershipmentoringperformance reviewscareer developmentcommunication
Certifications
Bachelor’s degree in computer scienceBachelor’s degree in AI/MLrelated field degree