AI/ML Engineer - Agentic
San Jose, California, United States of America
USD 136K-276K Mid-level Full Time
Tasks
- Architect MCP server infrastructure
- Build retrieval and memory services
- Build scalable multi agent workflows
- Design production agentic orchestration platform
- Develop RAG pipelines
- Develop backend services for agent runtime
- Implement observability and reliability
- Implement structured outputs and tool calling
- Integrate enterprise LLM services
- Manage cloud native infrastructure and Kubernetes
- Set up CI/CD pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
ArgoCD | Async Programming | Autoscaling | CI/CD | Docker | Docker Hub | ECR | FastAPI | Function Calling | GCR | GRPC | GitHub Actions | HPA | Hybrid search | Jenkins | Kafka | Kubernetes | LLM API | Langgraph | Model Context Protocol | OpenSearch | Prometheus | Python | RAG | Redis | Resource Optimization | Streaming | Structured outputs | Tool-Calling | VPA | Vector Search
Education
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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