Senior AI Engineer
About The Position
At FourKites, we have the opportunity to tackle complex challenges with real-world impacts. Whether it's medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity. As a Senior AI Engineer, you'll join a 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, 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.
Requirements
- 5+ 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
- 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 — 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
Nice To Haves
- Experience with Amazon Web Services or other cloud services is a plus
- Excellent oral and written communication skills
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
Benefits
- Competitive compensation with stock options
- Outstanding benefits
- Collaborative culture
- 5 global recharge days
- Generous PTO
- Standard holidays
- Parental leave for all parents
- Annual wellness stipend
- Volunteer days
- Medical, Dental & Vision benefits starting on first day of employment
- 401k Retirement savings with employer match
- Bonus and incentive compensation as well as employee stock option program
- Employer paid life insurance and short term disability insurance
- Family planning and inclusive wellbeing resources
- Technology reimbursement
- Commuter benefits for in-office employees (Chicago)
- Ongoing learning & development opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
