AI/ML Engineer - Agentic
San Jose, California, United States of America
USD 136K-276K Mid-level Full Time
Tasks
- Architect MCP server infrastructure for tool communication
- Build retrieval and memory services for RAG pipelines
- Design production grade agentic orchestration platform
- Develop high performance backend services for agent runtime
- Implement observability and reliability for production agents
- Implement scalable multi agent workflows
- Integrate and operate enterprise LLM services
- Manage cloud native infrastructure and CI CD deployments
Perks/Benefits
Skills/Tech-stack
ArgoCD | Asynchronous programming | Autoscaling | CI/CD | Chunking | Docker | FastAPI | Function Calling | GRPC | GitHub Actions | GraphQL | HPA | Hybrid search | Jenkins | Kafka | Kubernetes | LLM | Langfuse | Langgraph | Model Context Protocol | OpenSearch | Prometheus | Python | RAG | REST | Redis | Reranking | Streaming | Structured Output | Vector Store
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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