Senior AI Engineer, Agentic Systems

What you'll do

• Discover and map workflows with product managers and domain experts, defining problems, baselines, and success criteria.
• Design, build, test, deploy, and operate agent systems, multi-agent workflows, and supporting full-stack tools.
• Establish evaluations, guardrails, human approvals, and production monitoring; use results to improve or retire systems.

What they ask for

• Around 7 or more years of professional software engineering experience in production systems.
• Around 2 or more years of professional, hands-on experience building AI agents and agent-powered production applications with measurable outcomes.
• Strong full-stack engineering background, including end-to-end ownership of services, backend APIs and integrations, data models, and user-facing interfaces.
• Have shipped agentic systems in code using LLM APIs, SDKs, and libraries that real users rely on.

Nice to have

• Knowledge/context graphs, GraphRAG, or hybrid retrieval.
• Experience with agent frameworks and runtimes such as Google ADK or LangGraph.

Pay

$188,500 — $282,700 USD (base salary)

Tools

LLM APIs, Google ADK, LangGraph, Python, FastAPI, MCP, Snowflake, Salesforce

AI focus

Build and operate production agents and multi-agent workflows, including agent harnesses, context and state management, continuous evaluation, safety guardrails, and human-in-the-loop approvals.