Senior AI Engineer

As a Senior AI Engineer, you'll join a 10-person team focused on data integrations (shippers and carriers moving in and out of the FourKites ecosystem) and our active AI agent workstreams, including a support automation agent handling 60-70% of customer tickets, a voice agent that calls carriers to gather and update information, and an end-to-end carrier onboarding agent (email + voice). You'll work on features end-to-end (~75-80% backend, ~20-25% frontend) using Python, Java/GoLang, and agentic frameworks like LangGraph, React, Redis, and PostgreSQL. You'll develop products that change the logistics landscape for some of the biggest corporations in the world and work closely with our US team and customers to shape the future of the industry.

Responsibilities:

• Design, build, and productionize AI agents/workflows (e. g., support automation, voice, and onboarding agents) using agentic frameworks such as LangGraph
• Develop, test, and maintain backend applications in Python and Java or GoLang
• Write clean, efficient, and well-documented code across the full SDLC development, QA, and release
• Design and implement data models and database schemas
• Collaborate with the frontend team to integrate the backend with the user interface
• Perform code reviews and ensure code quality standards are met
• Troubleshoot and debug applications, including AI agent workflows in production
• Work with the DevOps team to deploy and manage applications in production (Kubernetes)
• Continuously learn and stay up-to-date with new technologies and industry trends, particularly in the AI/agentic space

Requirements:

• 4+ years of experience as a backend/software developer, with hands-on exposure to AI/agentic systems (deep AI expertise not required, but you should be comfortable in the ecosystem).
• Python mandatory.
• Java or GoLang proficiency in at least one.
• Hands-on experience (2+ years) with LangGraph or similar agentic frameworks is non-negotiable for this role.
• Strong understanding of object-oriented programming principles.
• Experience with databases such as MySQL, PostgreSQL, or MongoDB.
• Familiarity with front-end technologies such as HTML, CSS, JavaScript, and React.
• Good knowledge of RESTful APIs and microservices architecture.
• Working knowledge of Kubernetes.
• Full Agile SDLC experience in development, QA, and release.
• Excellent problem-solving and analytical skills.
• Ability to work independently and in a team environment.
• Strong knowledge of Git (branches, submodules, rebasing) and Agile tools such as JIRA and Confluence.
• Experience with Amazon Web Services or other cloud services is a plus.
• Excellent oral and written communication skills.