Senior AI Engineer
Tasks
- Build and maintain multi step LLM workflows
- Build scalable maintainable TypeScript services
- Conduct code reviews and enforce engineering standards
- Debug LLM chains using observability traces
- Define tool contracts and agent workflows
- Design implement and maintain output type AI systems
- Ensure AI output quality and predictability
- Implement error handling request validation and fallback flows
- Implement prompt systems with dynamic prompting
- Integrate and orchestrate multiple LLM providers
- Manage prompt experiments and evaluation pipelines
- Monitor AI metrics quality signals latency and release health
- Optimize cost latency and context usage
- Own end to end delivery of AI features
- Run A B tests across models
- Write and maintain automated tests
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AIMetrics | Agent Orchestration | Agentic AI | Anthropic API | B testing | Context window | Cost Optimization | Function Calling | LLM | LLM API | LLM Observability | Langchain | Langfuse | Latency optimization | Llamaindex | MCP | Mixpanel | Model routing | Monitoring | Multi-Agent | Multi-agent orchestration | Next.js | Node.js | OpenAI API | OpenRouter | PostgreSQL | Prompt engineering | Python | RAG | Redis | Reranking | Retrieval | Tool Execution | TypeScript
Education
N/A
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