AI Engineer (Agents)
Tasks
- Architect scalable stateful AI agents
- Build production monitoring for agent workflows
- Deploy agents using Docker and Kubernetes
- Design automated evaluation pipelines
- Implement CI/CD deployment pipelines
- Implement caching and prompt compression
- Integrate AI agents into product systems
- Mentor engineers on asynchronous programming and error handling
- Optimize RAG pipelines and agent loops
- Route models to balance cost and performance
- Validate structured data for non deterministic outputs
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 | LLM Evaluation | Langchain | Langgraph | Langsmith | Model routing | Observability | OpenAI SDK | Prompt Compression | Pydantic | Python | RAG | Semantic similarity | Tracing | Vector Database | Weights and Biases
Education
N/A
Roles
AI | AI Engineer | Engineer
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