AI/ML Engineer - Agentic
San Jose, California, United States of America
USD 136K-276K Mid-level Full Time
Tasks
- Architect MCP server tool infrastructure
- Build retrieval and memory services with RAG pipelines
- Design production agentic orchestration platform
- Develop high performance backend orchestration services
- Develop vector store based hybrid search
- Implement observability and reliability for agent execution
- Implement scalable multi agent workflows
- Implement streaming structured outputs tool calling
- Integrate LLM services at enterprise scale
- Manage cloud-native deployment on Kubernetes
- Set up CI CD pipelines and automate builds
Perks/Benefits
Skills/Tech-stack
ArgoCD | Async Programming | Autoscaling | CI/CD | Docker | Docker Registry | FastAPI | GRPC | GitHub Actions | GraphQL | HPA | Hybrid search | Jenkins | Kafka | Kubernetes | LLM | Langfuse | Langgraph | MCP | OpenSearch | PEFT | Prometheus | Prompt engineering | Python | QLoRA | RAG | REST | Redis | Streaming | Structured Output | Tool-Calling | VPA | Vector Database
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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