Backend Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Backend Engineer (AI): Building and scaling the backend of an AI-native trade compliance engine with an accent on robust API design and seamless integration of LLM-driven workflows. Focus on implementing production-grade services that automate complex global trade processes and ensure system reliability for enterprise-level operations.
Location: Remote-first with a base in Berlin.
Company
An AI-native startup building a comprehensive trade compliance engine to automate customs filings, reporting, and regulatory tasks for global organizations.
What you will do
- Build and scale the backend architecture for an AI-powered trade compliance engine.
- Develop clean, well-structured APIs and services using TypeScript and NestJS.
- Integrate LLMs and AI services, such as Amazon Bedrock, into core business logic.
- Design reliable data flows and interfaces between internal systems and external services.
- Ensure high performance, observability, and security standards in production environments.
- Collaborate cross-functionally with AI, frontend, and product teams to deliver end-to-end features.
Requirements
- Strong hands-on experience building backend systems with TypeScript and NestJS or similar frameworks.
- Proven ability to design and operate APIs and backend services in production environments.
- Experience integrating or working with LLMs and AI-driven services.
- Deep commitment to system correctness, reliability, and performance.
- Ability to thrive in a fast-paced, early-stage startup environment.
Nice to have
- Experience in regulated or enterprise software environments.
Culture & Benefits
- Competitive salary with a meaningful equity package.
- Ownership of critical components within a growing product.
- Flexibility in how and when work gets done, focusing on impact over micromanagement.
- Remote-first environment with the option to meet in person when beneficial.
- Support for necessary hardware and software tools to ensure team success.
Hiring process
- Initial 30–45 minute conversation with the Co-CEO.
- Practical technical assessment focusing on architecture and real-world trade-offs.
- In-person strategy deep-dive session.
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