Senior AI Engineer — Voice & Agentic Systems
Tasks
- Build and deploy production voice AI systems
- Build data capture pipelines for model improvement
- Build multi-agent orchestration systems
- Build real time STT TTS pipelines
- Create autonomous care coordination agents
- Design agentic workflows for healthcare automation
- Design evaluation infrastructure for agent performance
- Design workflow orchestration systems
- Develop reinforcement learning feedback loops
- Drive product iteration from real world usage data
- Improve AI quality using reward driven optimization
- Improve production reliability for patient facing AI systems
- Improve system accuracy using continuous feedback loops
- Lay architectural foundations for scale
- Own AI system performance end to end
Perks/Benefits
- Direct founder collaboration
- High technical ownership
- Hybrid option
- Meaningful architectural influence
- Mission-driven healthcare impact
- Remote-first flexibility
Skills/Tech-stack
Agent Orchestration | Data Pipelines | Debugging | Evaluation | Language Models | Large Language Models | Machine Learning | Multi-Agent | Multi-agent orchestration | Optimization | Python | REST APIs | RLHF | Real Time | Real-time Systems | Reinforcement Learning | Reward Modeling | Speech-to-Text | Systems Design | Text to Speech | Time Systems
Education
N/A
Roles
Regions
Countries
States
Cities
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