1 day ago
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 using 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.
Requirements
- At least 3 years of software engineering experience building production systems.
- At least 1 year of 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.
- BS or MS in Computer Science, Engineering, AI, or a related field.
- Startup experience and the ability to work in a fast-paced environment are preferred.
Tech Stack
Categories
About Kargo
Kargo builds a computer-vision platform for loading docks that verifies and tracks freight as it is loaded and unloaded. Its dockside “Kargo Towers” capture labels and marks, convert them to data, and sync with customers’ ERP, WMS, TMS, and YMS to automate shipping and receiving. The privately held company was founded in 2019 and is headquartered in San Francisco, serving shippers, carriers, and warehouse operators.