AI Engineer (Agents)
Tasks
- Architect scalable stateful AI agents
- Deploy using CI/CD
- Design evals as code with automated testing
- Develop production grade agent architecture in Python
- Implement LLMOps and observability
- Improve async programming error handling and validation
- Integrate AI agents into product infrastructure
- Mentor engineers on best practices
- Optimize RAG pipelines for performance and cost
Perks/Benefits
- N/A
Skills/Tech-stack
AI SDK | Adversarial Testing | CI/CD | Caching | CrewAI | Docker | Git | GitHub | Google ADK | Google AI | Google AI SDK | Kubernetes | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | Model routing | Observability | OpenAI SDK | Prompt engineering | Pydantic | Python | RAG | Semantic similarity | Tracing | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer
Regions
Countries
States
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