Senior AI Engineer
Tasks
- Build multi-step LLM workflows
- Debug LLM chains and optimize cost latency
- Define tool contracts and agentic workflows
- Deploy and release LLM experiments
- Design and maintain output type AI systems
- Drive architecture refactoring and maintainability
- Ensure AI output quality and predictability
- Ensure code quality through testing and reviews
- Implement reliable backend logic for AI systems
- Integrate and orchestrate LLM providers
- Manage production prompt systems
- Monitor AI system metrics and release health
- Monitor and improve system performance and reliability
- Own AI feature delivery end to end
- Run A/B tests and analyze results
- Write scalable TypeScript code
Perks/Benefits
- Company provided MacBook
- Flexible independent contractor agreement
- Paid national holidays
- Remote work environment
- Unlimited PTO
Skills/Tech-stack
A/B | A/B Testing | Agent Orchestration | Agentic AI | B testing | Cost Optimization | Function Calling | JSON Schema | LLM APIs | Langchain | Langfuse | Latency optimization | Llamaindex | MCP | Mixpanel | Multi-Agent | Multi-agent orchestration | Next.js | Node.js | Observability | OpenRouter | PostgreSQL | Postgres | Prompt engineering | Python | RAG | Re-ranking | Redis | Retrieval | Tool-Calling | TypeScript
Education
N/A
Roles
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