AI Engineer (Agents)
Tasks
- Architect AI agent systems
- Build CI/CD pipelines
- Deploy containers to production
- Design automated evaluation pipelines
- Develop stateful AI agents
- Handle non deterministic outputs
- Implement caching and prompt compression
- Implement production monitoring for agent workflows
- Integrate AI agents into product infrastructure
- Mentor engineers on best practices
- Optimize RAG pipelines for performance and cost
- Set up tracing and observability
- Use model routing for inference cost control
- Validate structured data
Perks/Benefits
- N/A
Skills/Tech-stack
AI SDK | Adversarial Benchmarking | CI/CD | Caching | CrewAI | Docker | Git | GitHub | Google AI | Google AI SDK | Kubernetes | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | Model routing | Observability | OpenAI | Prompt Compression | Pydantic | Python | RAG | Semantic similarity | Tracing | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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