AI Engineer
Tasks
- Build multi-step LLM workflows
- Conduct code reviews
- Deep debug LLM chains
- Deploy LLM experiments
- Design output type based AI systems
- Ensure AI output quality
- Implement backend logic with error handling
- Improve production reliability and performance
- Integrate LLM providers
- Maintain scalable TypeScript code
- Manage production prompt systems
- Monitor AI system metrics
- Optimize for cost latency and context usage
- Orchestrate tool using and agentic workflows
- Own AI engineering features
- Run A/B tests
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 | Anthropic | B testing | Cloudflare Workers | Evaluation | Fine Tuning | Function Calling | JSON Schema | LLM APIs | LLM Observability | Langchain | Langfuse | Langsmith | Llamaindex | MCP | MCP clients | MCP servers | Model routing | Multi-Agent | Multi-agent orchestration | Next.js | Node.js | OpenAI | OpenRouter | PostgreSQL | Prompt engineering | Python | RAG | Ragas | Re-ranking | Redis | Retrieval | Serverless | Tool-Calling | TypeScript | Vector Search
Education
N/A
Roles
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