Role Overview
Kargo is hiring a entry-level Agentic AI Engineer. This is a full-time role in Locations: San Francisco. Part of Kargo's Ml Engineering hiring, posted 2 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job description
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.
About Kargo
Frequently Asked Questions
How do I apply for the Agentic AI Engineer position at Kargo?
Use the Apply button above to submit your application directly to Kargo. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Agentic AI Engineer position at Kargo located?
This position is based in Locations: San Francisco. Kargo has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Agentic AI Engineer at Kargo earn?
Kargo has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Agentic AI Engineer role at Kargo posted?
This role was posted on June 24, 2026 (16 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
Is the Agentic AI Engineer role at Kargo entry-level?
Yes. This is an entry-level position. Strong candidates typically have 0-2 years of relevant work experience, internships, or significant project work. Read the full description for any specific qualification requirements Kargo has listed.
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