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 grade agentic orchestration platform
- Develop RAG pipelines and hybrid search
- Develop backend services for agent runtime
- Enable tool function calling and error handling
- Ensure reliability and cost performance visibility
- Implement CI CD pipelines and resource optimization
- Implement FastAPI and gRPC services
- Implement streaming and structured outputs
- Integrate LLM services at enterprise scale
- Manage Kubernetes workloads and deployments
- Optimize relevance ranking
- Provide end to end tracing and monitoring
- Set up messaging and async systems
Perks/Benefits
Skills/Tech-stack
ArgoCD | Async Programming | Autoscaling | CI/CD | Docker | FastAPI | Function Calling | GRPC | GitHub Actions | GraphQL | HPA | Jenkins | Kafka | Kubernetes | LLM | Langfuse | Langgraph | Model Context Protocol | OpenSearch | Prometheus | Python | RAG | REST | Redis | Streaming | Structured outputs | VPA | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer | Software Engineer
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