Data Scientist - Agentic AI
Core
Design, implement, and operationalize agentic workflows for Marvis, an AI assistant for network operations, enabling autonomous diagnosis and troubleshooting.
Role type
Senior IC machine-learning engineer (agentic AI)
Builds
Production agentic systems, reasoning pipelines, and tool-calling patterns for network operations
Domain
Network operations, Generative AI, Agentic AI
Deliverable
production ML models
Required skills
Agentic orchestration (LangGraph), MCP server implementation, LLM API integration at scale, RAG pipeline design, Python development, Kubernetes, CI/CD pipelines, Observability for AI systems
Preferred skills
Agent memory systems, sandboxed code execution environments, Networking domain knowledge, AWS Bedrock, OpenSearch Serverless
Technologies
LangGraph, LangChain, MCP, Kubernetes, Docker, FastAPI, OpenSearch, AWS Bedrock, Prometheus, LangFuse
Responsibilities
Design and iterate agentic workflows with ReACT loops and dynamic tool selection; Develop and maintain MCP servers and skills; Integrate and optimize LLM capabilities at production scale; Build retrieval and memory services (RAG, vector stores); Design evaluation frameworks for non-deterministic systems; Collaborate with domain experts to formalize networking problems; Deploy containerized services in Kubernetes; Own observability for agentic workflows
Seniority
Senior, hands-on IC
