Senior Machine Learning Engineer
Core
Design, code, test, and ship agentic AI capabilities end-to-end for an internal agentic search engine, connecting agents to enterprise data sources to deliver a fast, conversational, Perplexity-style user experience.
Role type
Senior IC machine learning engineer (agentic AI systems)
Builds
Internal agentic search engine with planning, retrieval, tool-use, and orchestration components
Domain
Enterprise AI / Generative AI / Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Python, software engineering fundamentals, agentic AI system design, LLM application integration, Google Cloud stack expertise, production deployment and scaling, observability and evaluation
Preferred skills
frontier model families, open-source agentic frameworks (LangChain, LangGraph, LlamaIndex), front-end or full-stack exposure, evaluation frameworks and guardrails, regulated or enterprise environment experience
Technologies
Vertex AI, GKE, BigQuery, Cloud Run, Cloud Storage, IAM, LangChain, LangGraph, LlamaIndex, Snowflake
Responsibilities
Design, code, test, and ship agentic AI capabilities end-to-end; build planning, retrieval, tool-use, and orchestration components; connect agents securely to internal and enterprise data sources; develop and operate solutions natively on Google Cloud Platform; implement evaluation loops, guardrails, and feedback mechanisms; collaborate in person with pod and client stakeholders
Seniority
Senior, hands-on IC
