Software Engineer II, AI Platform at Flexport Inc Germany

Amsterdam, North Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

29 Apr, 26

Salary

0.0

Posted On

29 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, AI, Automation Engineering, Kubernetes, AWS, LLM, Prompt Engineering, Security, API Gateways, Workflow Orchestration, Communication, Problem Solving, Code Quality, Learning, Entrepreneurial Mindset, Data Processing

Industry

Logistics;Transportation;Supply Chain and Storage

Description

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The $8.6 trillion freight forwarding industry runs on phone calls, faxes, and emails. At Flexport, we're changing that with software—and now, with AI, we're accelerating the transformation by orders of magnitude. Our AI Platform team in Amsterdam is building the intelligence layer that will make every person at Flexport exponentially more effective. We're not just building chatbots—we're creating autonomous agents that eliminate toil, catch errors before they cascade, and handle the "long tail" of logistics operations that traditional software could never economically address. This isn't hypothetical—we already have agents saving thousands of hours per week. You'll be building the platform that multiplies that impact across the entire company. This is a rare opportunity to work at the intersection of AI and a massive real-world problem space. You'll build systems that directly impact how $19 billion of goods move across 112 countries, touching everything from customs compliance to document processing to incident response. What You'll Build: Automation Engineering Platform Build the infrastructure that lets operators create AI-powered workflows without writing code—parsing emails against SOPs, extracting data from documents, creating smart work queues, and deploying ambient quality agents that catch problems before they become incidents Create the tooling that transforms subject matter experts into automation engineers Create AI powered safeguards and security, that monitor usage and warn (or even intervene) when we have potential problems. Secure AI Infrastructure Build a production-grade, internal AI chat surface with granular MCP (Model Context Protocol) integration, giving different teams secure access to the right internal tools and data Create an MCP gateway that safely exposes internal services to client-side AI agents, enabling developers to use tools like Claude Code against Flexport's systems Navigate the rapidly evolving auth and security landscape of AI tooling—you'll be solving problems that don't have Stack Overflow answers yet Agent Templates & Deployment Turn our most successful AI agents—security monitoring, data repair, compliance checking, incident response—into reusable templates Build the deployment infrastructure that makes it trivial to spin up new specialized agents for different use cases Design systems that make agents observable, debuggable, and improvable over time Why This Role Is Special: You're early: AI in enterprise is still being figured out. The patterns you build here could become industry standards Real problems: You're not optimizing ad clicks—you're helping businesses move physical goods across borders more efficiently Autonomy: You'll own entire projects from conception to deployment Learning: You'll work alongside people who have built successful AI agents in production and know what works (and what doesn't) You Should Have: ≥ 3 years of software engineering experience, and having built at least one or two production LLM applications Full-stack capability: You're comfortable deploying services on Kubernetes/AWS, designing backend systems for LLMs, and building frontend applications when needed Deep LLM experience: You understand agent patterns, workflows, MCP, RAG, prompt engineering. You've worked with frameworks like LangChain, LlamaIndex, or built your own orchestration layers. Entrepreneurial mindset: You can take a vague problem ("make compliance checking automatic"), design the full solution, and ship it to production without needing your hand held A love of simple, well-tested code that is easy to extend and hard to break—especially important when working with non-deterministic AI systems Excellent communication skills: You'll be working directly with operators, product teams, and leadership to understand needs and explain technical tradeoffs A bias for action: When you see an opportunity to eliminate toil or catch errors, you build it Non-optional: an aptitude for learning quickly in a space where best practices are being written in real-time Nice to Have: Experience with security, especially around API gateways and auth systems Experience with workflow orchestration tools (Temporal, Airflow, etc.) Familiarity with the logistics or supply chain domain Commitment to Equal Opportunity At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law. Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at www.flexport.com/privacy for additional information.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

You will build the infrastructure for AI-powered workflows and create secure AI systems that enhance operational efficiency. Additionally, you will develop reusable agent templates and deployment infrastructure for various use cases.