AI/ML Engineer - Agentic
San Jose, California, United States of America
USD 136K-276K Mid-level Full Time
Tasks
- Architect develop and operate MCP server infrastructure
- Build and maintain retrieval and memory services with RAG pipelines
- Design build and own production grade agentic orchestration platform
- Develop and operate high performance backend services for orchestration
- Implement CI/CD pipelines for automated build and deployment
- Implement scalable multi agent workflows
- Integrate and operate LLM services at enterprise scale
- Manage cloud native infrastructure and deployment with Kubernetes
- Own observability and reliability for non deterministic systems
Perks/Benefits
- Career Development Programs
- Comprehensive health and wellbeing benefits
- Flexible work-life balance
- Hybrid work schedule
Skills/Tech-stack
Async Programming | Auto Scaling | Autoscaling | CI/CD | Docker | Error Handling | FastAPI | Fine Tuning | GRPC | GraphQL | HPA | Hybrid search | Kafka | Kubernetes | LLM integration | Langfuse | Langgraph | MCP | Message Queues | Observability | OpenSearch | PEFT | Prometheus | Prompt engineering | Python | QLoRA | RAG | REST | Redis | Retrieval-Augmented Generation | Streaming APIs | Structured outputs | Tool-Calling | Tracing | VPA | Vector Stores
Education
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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