Senior AI Software Engineer
Tasks
- Build multi step LLM workflows with orchestration frameworks
- Build output scoring for hallucination and logic errors
- Debug LLM chains using observability traces
- Define tool contracts and tool using workflows
- Deliver AI features end to end
- Deploy LLM experiments and prompt management
- Design output routing and enforcement
- Ensure consistent output structure across LLMs
- Ensure production stability of AI systems
- Implement robust backend error handling and validation
- Improve production performance and reliability
- Integrate and orchestrate LLM providers
- Maintain AI output quality and predictability
- Manage model selection and fallback strategies
- Manage production prompt systems
- Monitor AI system metrics and release health
- Optimize for cost latency and context usage
- Orchestrate AI to internal service integrations
- Perform testing code reviews and refactoring
- Run A/B tests and analyze results
- Write maintainable TypeScript code
Perks/Benefits
- Company provided MacBook
- Flexible contractor agreement
- Paid national holidays
- Remote work environment
- Unlimited PTO
- Work-life balance
Skills/Tech-stack
A/B | A/B Testing | Agentic AI | B testing | Context window | Context window management | Cost Optimization | Fallback strategies | Function Calling | JavaScript | LLM APIs | Langchain | Langfuse | Latency optimization | Llamaindex | MCP | Model routing | Model selection | Next.js | Node.js | Observability | OpenRouter | PostgreSQL | Prompt engineering | RAG | Redis | Reranking | Retrieval | Tool-Calling | TypeScript | Window management
Education
N/A
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