Enhance and maintain features within our in-house/third-party agentic framework.
Build agents to automate workflows for the Agent Trust and Inspection team.
Develop and deploy adversarial agents and specialized sandbox environments to rigorously test and secure AI agents.
Work with cross-functional teams to embed real-time security guardrails into their agentic systems.
Collaborate in an iterative, team-first environment that values strong engineering practices and continuous learning.
Share knowledge, mentor teammates, and help raise the technical bar across the pod.
Evaluate the latest agentic technologies to determine their potential for enhancing our platform.

12+ years of experience in software engineering or equivalent educational background
5+ years writing modular, performant Python code and libraries
5+ years designing and implementing Machine Learning/autonomous systems in a production environment
Exposure to frameworks such as Langchain, Langraph (preferred), CrewAI, and ADK
Knowledge of the production architecture for modern Agentic systems
Experience in the implementation of various Agentic Design Patterns
Bachelor's degree in a computer related field or equivalent work experience
Familiarity with agentic coding tools such as Claude Code or Cursor
Experience building and operating SaaS products in cloud environments (AWS preferred)
Knowledge of software development best practices (DevOps, CI/CD, automated testing, observability)
Hands-on experience with containerization technologies (Docker, Kubernetes)
Proven success working within fast-paced, agile environments and cross-functional teams
Strong communication skills, with the ability to collaborate with both technical and non-technical partners.

Principal Agent Development Engineer – Agent Platform

Key skills