Agentic AI Engineer
Kargo Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at Kargo. Locations: San Francisco · no salary stated · we estimate $132,450–$205,151 across the United States.
Kargo has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build agents that move through websites on their own and complete multi-step workflows
- Create browser automation with Playwright, Selenium or comparable frameworks
- Shape agents around LLMs, tool use, memory and planning, then connect them to APIs and internal systems
- Test and monitor agent behavior, add safeguards, and improve reliability, scale and operating cost
- Work with product and engineering to choose workflows for automation and track emerging agent technologies
What you bring
- At least three years building production software systems
- At least one year creating workflows powered by agents
- Strong Python skills, plus experience with LLMs, agent frameworks and browser automation
- You have connected APIs and third-party services, and are familiar with AWS, GCP or another cloud platform
- A degree in computer science, engineering, AI or a related discipline
Who this fits
This role suits a software engineer focused on production agent workflows, browser automation and system integrations. Startup experience and comfort with a fast-moving environment are preferred. The listing gives no location constraint.
From the employer
At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time.
We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics.
Responsibilities
- Build AI agents that autonomously navigate websites and execute complex workflows.
- Develop browser automation solutions using Playwright, Selenium, or similar frameworks.
- Design agent architectures leveraging LLMs, tool calling, memory, and planning capabilities.
- Integrate AI agents with APIs, SaaS platforms, and internal systems.
- Improve agent reliability through evaluation, testing, monitoring, and guardrails.
- Optimize agent performance, scalability, and operational cost.
- Collaborate with product and engineering teams to identify and automate high-value workflows.
- Stay current on emerging agent frameworks, models, and AI technologies.
Experience
- 3+ years of software engineering experience building production systems.
- 1+ years experience building agentic workflows.
- Strong Python programming skills.
- Experience with LLMs, agent frameworks and browser automation tools.
- Experience integrating APIs and third-party services.
- Familiarity with cloud platforms such as AWS or GCP.
- Startup experience and ability to work in a fast-paced environment is preferred.
- BS/MS in Computer Science, Engineering, AI, or a related field.
Kargo is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.