Senior AI Engineer

Role Description

Join our client in building personalized AI healthcare infrastructure for Medicare beneficiaries, combining voice AI, reinforcement learning systems, and agentic automation to create a scalable AI nurse concierge.

• Build and deploy production-grade voice AI systems
• Design agentic workflows for healthcare automation
• Build multi-agent orchestration systems
• Develop reinforcement learning feedback loops
• Design evaluation infrastructure for agent performance
• Improve AI quality through reward-driven optimization
• Build real-time STT / TTS pipelines
• Create autonomous care coordination agents
• Design workflow orchestration systems
• Improve production reliability for patient-facing AI systems
• Build data capture pipelines for model improvement
• Work directly with founders on technical roadmap
• Own AI system performance end-to-end
• Design scalable healthcare AI infrastructure
• Ship rapidly in a high-ownership startup environment
• Drive product iteration from real-world usage data
• Lay architectural foundations for scale
• Improve system accuracy using continuous feedback loops

Qualifications

• 1–10 years of engineering experience
• Strong backend or full-stack engineering fundamentals
• Strong Python proficiency
• Experience shipping production AI systems
• Strong systems design fundamentals
• Comfort with ambiguity
• High ownership mindset
• Ability to work autonomously
• Strong technical judgment
• Fast learner
• Strong product intuition
• Comfort operating in highly unstructured environments
• Ability to move quickly
• Strong debugging and optimization skills
• Ability to work directly with founders

Requirements

• Built production voice AI systems
• Built production agentic systems
• Multi-agent orchestration experience
• RLHF / reward modeling experience
• Built eval-driven LLM systems
• Production reinforcement learning systems
• Real-time STT / TTS pipeline experience
• Healthcare AI experience
• Startup engineering experience
• Former founder / early engineer
• Strong AI infrastructure background
• Top technical education
• Demonstrated exceptional technical achievement
• Experience building feedback-loop systems
• Strong experimentation mindset
• Fast shipping velocity
• High ambiguity tolerance
• Experience with production-scale LLM optimization

Benefits

• Base salary: $180,000 – $250,000
• Competitive equity
• Remote-first flexibility
• Hybrid option in Boston / SF
• Direct founder collaboration
• High technical ownership
• Meaningful architectural influence
• Early-stage upside
• Mission-driven healthcare impact
• Production-scale AI challenges

Why Join

This is a rare opportunity to build AI systems that directly improve patient outcomes. You’ll work on production-grade voice and agentic systems that automate complex healthcare coordination workflows, helping scale personalized care for Medicare beneficiaries. If you want deep ownership over cutting-edge AI infrastructure, real-world impact, and the opportunity to build systems that continuously learn and improve from patient interactions, this role offers exceptional leverage.