AI Engineer (Agents)
Tasks
- Architect scalable AI agent systems
- Build tracing and observability for LLM workflows
- Conduct adversarial benchmarking
- Configure model routing for cost optimization
- Create evaluation pipelines using LLM as a judge
- Deploy agent systems with CI CD
- Develop stateful AI agents
- Implement caching and prompt compression
- Implement production monitoring for agent workflows
- Improve asynchronous programming and error handling
- Integrate AI agents into product infrastructure
- Mentor engineers
- Optimize RAG pipelines performance
- Run semantic similarity testing
- Validate structured data using Pydantic
Perks/Benefits
- N/A
Skills/Tech-stack
AI SDK | Adversarial Testing | CI/CD | Caching | CrewAI | Docker | Git | GitHub | Google AI | Google AI SDK | Kubernetes | Langchain | Langgraph | Model routing | Observability | OpenAI SDK | Prompt Compression | Pydantic | Python | RAG | Semantic similarity | Tracing | Vector Database
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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