AI Engineer (Agents)
Tasks
- Architect AI agent systems
- Build agent observability and tracing
- Create evals as code pipelines
- Deploy containerized applications
- Develop stateful AI agents
- Implement CI/CD pipelines
- Integrate AI agents into product services
- Mentor engineers and enforce best practices
- Optimize RAG pipelines performance
- Optimize inference cost with caching
Perks/Benefits
Skills/Tech-stack
AI SDK | Adversarial Benchmarking | Arize Phoenix | Asynchronous programming | CI/CD | Caching | CrewAI | Docker | Git | GitHub | Google AI | Google AI SDK | Kubernetes | LLM Evaluation | LLM-as-a-Judge | Langchain | Langgraph | Langsmith | Model routing | Observability | OpenAI SDK | Prompt Compression | 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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