Key skills
AIAgentic
About this role
Role Overview
- Assess business unit workflows and identify where automation, agents, or custom tooling create real leverage
- Design and build agents for internal operations: orchestration, tool-calling patterns, escalation paths, and human-in-the-loop gates
- Build custom internal tools, integrations, and infrastructure that support business operations across functions
- Evaluate enterprise data systems for AI readiness: quality, accessibility, governance, and latency. Build the access patterns that make enterprise data usable by AI systems.
- Define the AI application lifecycle for internally-built systems: how artifacts get verified, tested, deployed, and maintained. Establish quality gates between prototype and production.
- Define and enforce AI governance practices: agent permissions, escalation paths, decision audit trails, behavioral monitoring, and the boundary between autonomous action and human oversight
- Build and operate internal AI infrastructure: self-service capabilities, deployment guardrails, observability, and cost management
- Build tools and interfaces that make AI capabilities accessible to non-technical teams, translating business problems into working systems they can use directly
Requirements
- 8+ years of software engineering experience, including production AI/automation systems and custom internal tooling
- Experience assessing enterprise business processes and choosing the right solution: agent, custom tool, integration, or something simpler
- Track record deploying AI agents or automation into enterprise environments where they replaced real manual work
- Hands-on experience with agentic systems: orchestration, state management, tool-calling patterns, human-in-the-loop design
- Experience defining governance or lifecycle processes for AI systems: quality gates, monitoring, audit, human oversight
- Familiarity with enterprise data systems and what it takes to make their data accessible to AI consumers (quality assessment, access patterns, governance)
- Strong software engineering fundamentals across both AI systems and traditional application development
Benefits
- Competitive compensation
- Community-driven culture with employee events
- Regular catered lunches for in-office work; snacks, drinks available daily
- Generous time off
- Comprehensive health benefits & 401(k) plan
- Fun, modern workspace
- Respectful and nourishing work environment, where every opinion is heard and everyone is encouraged to be an active part of the organizational culture