Staff Machine Learning Engineer

Quick Facts

Role: Staff Machine Learning Engineer (Agentic AI & Enterprise Search)

Design, build, and operate production-grade agentic AI systems embedded across an enterprise platform, grounded in real enterprise data and deployed safely at Fortune 500 scale.

Description

You will design multi-agent, tool-using autonomous systems that reason over enterprise knowledge, take actions across workflows, and recover safely from failures. The role focuses on agentic architecture, enterprise-grounded reasoning using internal data sources (CMDB, Workflow Data Fabric, Knowledge Graph), trust/safety governance, and retrieval-grounded generation (RAG, hybrid search, re-ranking, evaluation). You will also integrate frontier models into a Sense → Decide → Act → Govern architecture and drive production-quality engineering practices.

Responsibilities

• Design and ship multi-agent systems (orchestration, tool use, planning loops, memory, failure recovery) that operate reliably in production.
• Build enterprise-grounded agents leveraging the data layer (CMDB, Workflow Data Fabric, Knowledge Graph) to make context-rich decisions.
• Own guardrails for safe autonomy: observability, human-in-the-loop controls, and compliance infrastructure.
• Work with the search team to ensure accurate, low-latency retrieval: RAG pipelines, hybrid search, re-ranking, and evaluation.
• Integrate frontier models (Anthropic, Google, OpenAI) and evaluate cost/latency/capability trade-offs for production use cases.
• Provide engineering leadership through architecture ownership, code reviews, and coaching on production AI discipline.

Benefits

• Base pay guideline: $176,100 - $308,200 (plus equity when applicable, variable/incentive compensation and benefits).
• Health plans including flexible spending accounts, a 401(k) Plan with company match, and ESPP.
• Flexible time away plan and family leave programs.
• Compensation is location-dependent and may vary based on qualifications, skill level, competencies, and work location.

Requirements

• 5+ years of software engineering with strong fundamentals in data structures, algorithms, and distributed systems.
• Hands-on depth designing, shipping, and operating agentic systems in production (multi-agent orchestration, tool calling, planning loops, memory, failure recovery).
• Production-grade Python; Go/Java/C++ is a plus.
• Working experience with frontier AI SDKs (Anthropic, Google, OpenAI): prompt engineering, structured outputs, and production model evaluation.
• Experience with RAG and retrieval patterns in production: vector stores, hybrid search, and retrieval evaluation metrics.
• Proven technical leadership: architecture ownership, raising the engineering quality bar, and mentoring engineers on production AI.