Forward Deployed Engineer
Clera
Berlin, Germany
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Cloud Computing
Node.Js
Systems Integration
TypeScript
Google Cloud
File Transfer Protocol (FTP)
Application Enhancement Tool
ReactJS
Large Language Models
+6 more
Backend
Production Code
Front End Software Development
Terraform
Data Pipelines
Docker
Job description
This is a customer-embedded engineering role at an early-stage AI startup building purpose-built automation tools for the sea and air freight industry. You’ll sit at the intersection of logistics operations and product engineering - translating real customer pain points into shipped software alongside a small, high-ownership founding team. What You’ll Do
- Partner directly with logistics teams to understand their workflows and translate operational needs into system design.
- Build AI-powered tools across the full stack using Node.js and TypeScript.
- Integrate with enterprise ecosystems (ERP, TMS, SFTP, event queues) and construct reliable data pipelines for messy, real-world data.
- Shape product direction and technical decisions alongside the founding team.
- Travel regularly to key customer accounts across Europe and Asia to maintain close relationships.
- Own outcomes end-to-end, from design through deployment, shipping clean, production-ready code.
Requirements
- 3+ years building full-stack applications or backend systems in production environments.
- Strong proficiency in TypeScript and Node.js; React or modern frontend framework experience is a plus.
- Proven experience designing and integrating with enterprise systems (ERP, TMS, APIs, data pipelines).
- Hands-on experience with cloud infrastructure tools such as Docker, Terraform, GCP, or AWS.
- Experience building and maintaining backend infrastructure at scale.
- Demonstrated ability to ship to production quickly and iterate based on direct user feedback.
- Comfort working directly with end-users or customers to gather requirements and validate solutions.
- Clear, effective communication with both technical and non-technical stakeholders.
- Willingness to travel regularly and work across time zones.
- Familiarity with GenAI/LLM architectures (RAG, evals, orchestration) is a bonus.
- Background in logistics, supply chain, or operations domains is a plus.
- Thrives in early-stage, high-autonomy environments.
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