Staff AI Engineer, Agentic Automation

Join an innovative security engineering team working to solve one of enterprise security’s most overlooked challenges: automating identity management across disconnected applications. As a Staff AI Engineer, you will lead the development and production deployment of intelligent AI agents that onboard applications, generate API specifications, and repair broken automations autonomously. You will build on existing agent systems to create reliable, self-healing workflows that adapt to changing application interfaces and APIs. This hands-on technical leadership role combines advanced LLM engineering, browser automation, distributed systems, and security-first architecture. You will establish evaluation frameworks, optimize model performance and operating costs, and define the future direction of agentic automation. Working closely with platform, integration, and runtime engineering teams, you will help deliver secure, scalable automation that reduces manual work and strengthens enterprise identity protection.

• Production AI Engineering Experience: Demonstrated experience shipping LLM-powered agents with tool-use capabilities that operate autonomously for real users, alongside ownership of backend systems in production.

• Programming Skills: Strong proficiency in Python or TypeScript, with the ability to work productively in both languages.

• LLM Agents and Tool Use: Deep understanding of agent loops, structured outputs, tool orchestration, retries, and common failure modes in autonomous AI systems.

• Evaluation and Benchmarking: Experience building evaluation frameworks, benchmarks, or testing harnesses and using quantitative results to guide technical decisions and improve production quality.

• Browser Automation and API Integrations: Significant experience with browser automation technologies such as Playwright or comparable tools, or deep expertise in backend and API integration systems, combined with the ability to work effectively across both areas.

• Distributed Systems: Understanding of queues, idempotency, durable execution, and workflow orchestration platforms such as Temporal, AWS Step Functions, or similar technologies.

• Security Expertise: Strong security judgment when designing systems that handle credentials and sensitive information, including familiarity with prompt injection risks, secret isolation, and secure execution environments.

• Technical Leadership: Ability to take early-stage systems from development to production independently, make sound architectural trade-offs, and ensure systems remain reliable after launch.

• Communication and Collaboration: Excellent technical writing skills, with the ability to document architecture, communicate complex decisions, influence stakeholders, and mentor engineers across teams.

• Preferred Technical Experience: Hands-on experience with Temporal in production, Pydantic AI or comparable agent frameworks, open-weight model serving platforms such as Fireworks, Together, or Amazon Bedrock, and LLM cost modeling.

• Additional Preferred Skills: Familiarity with computer-use agents, Chrome Manifest V3 browser extensions, OpenAPI tooling, identity and access management (IAM), credential management, AWS, and Terraform.