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 using RAG
- Design production grade agentic orchestration platform
- Develop high performance backend services for orchestration and runtime
- Implement scalable multi agent workflows
- Integrate enterprise LLM services
- Manage Kubernetes deployments and CI/CD pipelines
- Provide observability and reliability for non deterministic systems
Perks/Benefits
Skills/Tech-stack
Asynchronous programming | Autoscaling | CI/CD | Docker | FastAPI | Function Calling | GRPC | GraphQL | HPA | Hybrid search | Kafka | Kubernetes | LLM | Langfuse | Langgraph | MCP | Message Queues | OpenSearch | Prometheus | Python | RAG | REST | Redis | Reranking | 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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