Sr. AI Engineer
Hybrid - Boston, MA; Hybrid - San Francisco, CA
R
A USD 150K-220K (estimate) Senior-level Full Time
Tasks
- Build and deploy voice AI
- Build copilot assistants for real time nudge
- Build evaluation pipeline
- Capture product usage data
- Compose multiple agents into unified experience
- Define technical roadmap
- Deploy AI systems to production
- Design end to end agent workflows
- Document systems and establish best practices
- Implement reinforcement learning pipelines
- Improve systems using usage data
- Launch and scale AI agents
- Make scalable architecture decisions
- Monitor and debug AI agents in production
Perks/Benefits
Skills/Tech-stack
Data Pipelines | Debugging | Evaluation metrics | Human Feedback | Knowledge Retrieval | Language Models | Large Language Models | Learning from Human Feedback | Production Monitoring | Real Time | Real-time Processing | Reinforcement Learning | Reinforcement Learning from Human Feedback | Retrieval-Augmented Generation | Reward Modeling | Speech-to-Text | Text to Speech | Time processing | Vector Databases | Voice Orchestration
Education
N/A
Roles
Regions
Countries
States
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