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Senior Software Engineer: Applied AI
Высокий балл за работу в лидирующей логистической компании с передовым стеком технологий, прямым влиянием на бизнес и возможностью формировать будущее ИИ в индустрии.
Сложность вакансии
Роль требует не только глубоких технических знаний в области LLM и Full-stack разработки, но и высокого уровня автономности для решения сложных логистических задач в условиях неопределенности.
Анализ зарплаты
Предлагаемая позиция Senior уровня в Амстердаме соответствует рыночным ожиданиям для крупных международных технологических компаний, где зарплаты выше среднего по региону.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Software Engineer: Applied AI position at Flexport. With over 5 years of experience in software engineering and a deep focus on building production-ready applications with LLMs, I am excited by the opportunity to automate complex logistics workflows. My background in TypeScript and Next.js, combined with hands-on experience in RAG and agentic patterns, aligns perfectly with your mission to make global commerce autonomous.
In my previous projects, I have consistently demonstrated the ability to turn ambiguous problems into scalable solutions, much like the challenges described in your document processing and customs compliance initiatives. I thrive in entrepreneurial environments where I can own features end-to-end and work closely with domain experts. I am particularly drawn to Flexport because of the tangible impact your technology has on the global supply chain, and I am eager to contribute to a team that is defining the playbook for applied AI in this industry.
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Описание вакансии
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.
Senior Software Engineer: Applied AI
Every day, thousands of shipments cross borders, change hands, and hit unexpected problems. For decades, fixing those problems meant phone calls, emails, and humans heroically firefighting. We think that's about to change completely.
We've been building AI agents that spot trouble before it happens, reroute shipments, and keep goods moving—with our team of experts in the loop where it counts. The early results have been jaw-dropping. We're now going all in on a future where supply chains run themselves, and we're looking for the people who want to build that future with us.
This isn't a role where you join a team and pick up tickets. You'll find the highest-leverage problems, design the solutions, and ship them to operators moving freight across 112 countries. If that sounds like your idea of a good time, read on.
What You'll Do
You'll build the cutting-edge agents and AI-powered applications that make Flexport's operations smarter, faster, and increasingly autonomous. That means:
- Designing and shipping end-to-end AI agents that handle real logistics work—customs compliance, document processing, exception management, and more
- Crossing organizational boundaries to understand problems deeply, align stakeholders, and get things done without waiting for permission
- Moving fast from idea to production, treating every deployment as a learning opportunity
- Working directly with operators, domain experts, and leadership to turn ambiguous problems into shipped solutions
You Should Have
- 5+ years of software engineering experience; you've built with LLMs extensively—whether in production, side projects, or just because you couldn't stop yourself
- Strong product instincts: you can identify what's worth building, not just execute on a spec
- LLM fluency: agent patterns, RAG, prompt engineering, tool use, evaluation. You know what works in production and what looks good in demos
- Full-stack capability in TypeScript and Next.js—you can own a feature end to end
- An entrepreneurial drive: you thrive in ambiguity, move fast, and don't wait to be told what to do
- Excellent communication: you can work across teams and disciplines to get alignment and unblock yourself
- An audacious appetite for impact: you're not here to maintain—you're here to change how global trade works
Nice to Have
- Experience with workflow orchestration (Temporal, etc.)
- Experience building internal tools or operator-facing applications
How We Work
- We come to the office 3 times a week to hang out, whiteboard, and ship together
- We have the latest hardware and software—including frontier AI models on day one
- We're agile, but not dogmatic. Teams decide how they work best
- Stack: Next.js, TypeScript, Postgres, Snowflake. For AI: Anthropic, OpenAI, Google AI APIs
Why This Role Is Special
- Your work is visible: This is a small, senior team reporting directly to the VP of Engineering. What you build gets noticed, and your ideas shape the direction
- Real stakes: thousands of containers, 112 countries, $19 billion of goods. Your agents will have immediate, measurable impact
- Full ownership: from problem definition to production deployment, it's yours
- You're early: the playbook for applied AI in enterprise logistics doesn't exist yet—you'll help write it
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.
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Навыки
- TypeScript
- LLM
- PostgreSQL
- RAG
- Prompt Engineering
- Snowflake
- Temporal
- Next.js
- OpenAI
- Anthropic
Возможные вопросы на собеседовании
Проверка практического опыта работы с LLM в реальных условиях.
Расскажите о самом сложном случае внедрения LLM в продакшн: с какими проблемами галлюцинаций или точности вы столкнулись и как их решили?
Оценка навыков проектирования сложных систем.
Как бы вы спроектировали архитектуру ИИ-агента для обработки таможенных документов, учитывая необходимость высокой точности и участия человека в цикле (human-in-the-loop)?
Проверка владения современными паттернами ИИ.
В каких случаях вы предпочтете использование RAG вместо дообучения (fine-tuning) модели, и как вы оцениваете качество работы RAG-системы?
Оценка опыта работы с инструментами оркестрации, упомянутыми в вакансии.
Был ли у вас опыт работы с Temporal или аналогичными системами оркестрации воркфлоу? Как они помогают в обеспечении надежности распределенных систем?
Проверка продуктового мышления и инициативности.
Представьте, что вы обнаружили неэффективный процесс в логистике Flexport. Как вы будете приоритизировать разработку решения и договариваться со стейкхолдерами без прямого указания сверху?
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