Senior AI Engineer — Voice & Agentic Systems

Recruiting From Scratch • Boston, MA

7d • Hybrid

About The Position

Our client is building personalized AI healthcare infrastructure for Medicare beneficiaries, combining voice AI, reinforcement learning systems, and agentic automation to create a scalable AI nurse concierge. Their platform automates care coordination workflows across insurance, providers, vendors, and patient support systems—bringing always-on personalized healthcare navigation to millions of patients. This is an opportunity to join an early-stage, venture-backed healthcare AI company building production-grade voice and agentic systems in one of the most impactful AI application spaces today.

Requirements

• 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

Nice To Haves

• 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

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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed