AI Engineer (Agents)
Tasks
- Architect AI agent systems
- Build production monitoring
- Deploy services using Docker and Kubernetes
- Design evals as code for LLMs
- Develop stateful autonomous agents
- Implement caching and prompt compression
- Implement tracing and observability
- Integrate agents into payments and fraud systems
- Mentor engineers on best practices
- Optimize RAG pipelines
- Route models for cost performance
- Set up CI/CD pipelines
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 | Pydantic | Python | RAG | Semantic similarity | Tracing | Vector Database | Weights and Biases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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