Note: The job is a remote job and is open to candidates in USA. Recruiting from Scratch is recruiting for an unnamed client building personalized AI healthcare infrastructure for Medicare beneficiaries. The Senior AI Engineer will build and deploy voice AI systems, agentic healthcare automation, and scalable infrastructure, while improving system performance through evaluation and feedback loops.

Responsibilities

• 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

Skills

• 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
• 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

• 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

Company Overview