Kargo
Agentic AI Engineer
About this role
Kargo seeks an Agentic AI Engineer to design and deploy autonomous AI agents that automate complex workflows for logistics operations. You'll build intelligent systems that integrate with APIs and web platforms while optimizing for reliability and scale in a fast-paced startup environment.
What you'll do
- Build autonomous AI agents that navigate websites and execute complex workflows
- Develop browser automation solutions using tools like Playwright and Selenium
- Design agent architectures leveraging LLMs, tool calling, memory, and planning
- Integrate AI agents with APIs, SaaS platforms, and internal systems
- Improve agent reliability through testing, monitoring, and guardrails
- Collaborate with product and engineering teams to identify high-value workflows to automate
What they're looking for
- Python programming
- Agentic workflow development
- Large language models (LLMs)
- Browser automation frameworks
- API integration
- Cloud platforms (AWS/GCP)
- Production system design
- Agent framework experience
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Kargo
Kargo builds technology solutions that digitize and automate logistics operations, including hardware sensor platforms for loading docks and AI-powered systems for freight management. The company is hiring for network security, mechanical design, and AI engineering roles to strengthen its infrastructure, product hardware, and autonomous logistics automation capabilities.
View all jobs at KargoLikely interview questions
- Walk us through a production agentic workflow you've built. How did you handle reliability, testing, and monitoring?
- Describe your experience with browser automation tools like Playwright or Selenium. What challenges did you face and how did you solve them?