Senior AI Engineer (Clients) - Supernal
Tasks
- Build production backend services
- Build tool usage workflows
- Debug production issues
- Decompose agent workflows
- Define architectural decisions
- Deploy conversational agents
- Design RAG systems
- Design data models
- Develop CRUD applications
- Document and evolve engineering best practices
- Handle error retries and failures
- Implement WebHooks
- Implement voice agent latency handling
- Integrate external APIs
- Manage conversation state
- Orchestrate LLM workflows
- Own delivery timelines and technical tradeoffs
- Translate customer requirements into technical designs
- Write automated unit tests
- Write end-to-end tests
Perks/Benefits
Skills/Tech-stack
APIs | Agentic Workflows | Automated testing | Conversational AI | End to End | End-to-End Testing | Error Handling | Function Calling | LLM orchestration | Latency optimization | Monitoring | Prompt engineering | RAG | Retrieval-Augmented Generation | Retry strategies | State management | Streaming audio | Unit Testing | Voice Agents | Webhooks
Education
N/A
Roles
AI | AI Engineer | AI Platform Engineer | Engineer | Platform Engineer | Senior AI Engineer
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