Senior AI Engineer (Clients) - Supernal
Tasks
- Build and deploy agentic AI workflows
- Build and deploy conversational AI systems
- Debug AI agent and prompt issues
- Debug distributed system issues
- Define engineering best practices
- Design production backend systems
- Develop and integrate external APIs and webhooks
- Ensure reliability fault tolerance and latency awareness
- Implement rag pipelines
- Implement testing and observability
- Make architectural decisions for LLM orchestration
- Manage multi turn dialogue state
- Orchestrate tool use for agents
- Own end to end client technical delivery
- Translate client requirements into technical designs
Perks/Benefits
Skills/Tech-stack
Clean architecture | Dialogue Management | Distributed Systems | Docker | End to End | End-to-End Testing | Error Handling | Fault Tolerance | Function Calling | GraphQL | Integration Testing | Java | JavaScript | Kubernetes | LLM orchestration | Multi turn dialogue management | Multi-turn dialogue | Observability | Prompt engineering | Python | RAG | REST API | Retrieval-Augmented Generation | Streaming | System design | TypeScript | Unit Testing | Vector Database | Webhook
Education
N/A
Roles
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