AI Engineer (Agents)
Tasks
- Add tracing and observability
- Apply asynchronous programming best practices
- Architect AI agent systems
- Build automated evals as code
- Develop stateful autonomous agents
- Implement LLM workflow monitoring
- Implement caching strategies
- Integrate agents into production systems
- Mentor engineers
- Optimize RAG pipelines for latency and cost
- Own CI CD deployment and stability
- Perform LLM safety groundedness evaluation
- Set up model routing
- Validate structured data
Perks/Benefits
Skills/Tech-stack
AI SDK | Adversarial Benchmarking | Arize Phoenix | Asynchronous programming | CI/CD | Caching | CrewAI | Docker | Git | GitHub | Google ADK | Google AI | Google AI SDK | Kubernetes | LLMOps | Langchain | Langgraph | Langsmith | Model routing | Observability | OpenAI SDK | Prompt Compression | Prompt engineering | Pydantic | Python | RAG | Semantic similarity | Tracing | Vector Databases | Weights and Biases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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