Senior AI Engineer, Agentic Systems
Core
Design, build, and deploy production-grade agentic systems that automate complex enterprise workflows, integrating custom tooling, context pipelines, and defensive guardrails to ensure resilience.
Role type
Senior AI Engineer, Agentic Systems
Builds
Multi-agent workflows, production agents, and internal tools for enterprise operations
Domain
Enterprise AI, Data Protection, Cyber Resilience
Deliverable
production ML models
Required skills
Full-stack engineering, System design, AI agent orchestration, LLM API integration, Software engineering best practices, Evaluation and guardrails implementation
Preferred skills
Knowledge graphs and GraphRAG, Agent frameworks (Google ADK, LangGraph), Python/FastAPI, Tools integration (MCP, Slack/Teams), Data systems (Snowflake, Salesforce)
Technologies
LLM APIs, SDKs, LangGraph, Google ADK, Python, FastAPI, Snowflake, Salesforce, MCP, Slack, Teams
Responsibilities
Lead product discovery to define workflows and success criteria for agentic solutions; Design, build, test, and deploy production agents and multi-agent orchestrations; Engineer agents for autonomy with reliability including context management and failure handling; Implement evaluation, guardrails, and quality control mechanisms; Apply full-stack engineering to deliver user-facing agent systems; Use measured results to evolve agents and create reusable patterns
Seniority
Senior, hands-on IC
