Forward Deployed Engineer (German-speaking) Onsite (Munich, Germany)

S27a; München; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

S27a in Munich seeks an AI-enabled engineer who bridges customer logistics chaos and our product. You will embed with freight forwarders, carriers, and 3PLs to learn operations and turn mess into reliable AI Workers.

You own onboarding from the first call to live production, writing code, designing workflows, and coordinating with ops managers to deliver outcomes that work by tomorrow. You'll integrate with TMS, ERP, email, telephony, EDI and queues, build cross-stack solutions with

Qualifikationen

• You take full ownership from a customer's problem to a deployed system.
• You move fast and iterate, knowing when to shift from quick fixes to robust solutions.
• You build with AI, not just around it, AI-native development mindset.
• You can work with a non-technical ops manager and a database schema in the same hour, and be clear with both.
• You are comfortable with ambiguity and energized by being close to the customer.
• You want to be in the room in Munich, in person; this isn’t remote.

Aufgaben

• Embed with logistics operators, learn workflows, and map chaos into clear system design.
• Own onboarding end-to-end from first call to AI Workers running in production.
• Integrate with enterprise logistics stack: TMS, ERP, email, telephony, EDI, SFTP, event queues, including undocumented parts.
• Build fast across the stack (Python/FastAPI backend, front-end, LLM and agent workflows) to fit customer needs.
• Tune the AI with prompts, agent workflows, evals to ensure reliability in live operations.
• Feed learnings back into product and technical direction.
• Own the outcome and make it work if it's not; no excuses.

Kenntnisse

Python

JavaScript/TypeScript

SQL

REST APIs

LLMs in production

Prompt engineering

API integration

Evals

Agent tooling

Enterprise data flows

Event-driven architectures

Background job processing

German language

Logistics domain experience

Jobbeschreibung

The Role

You're the bridge between a customer's operational chaos and our product. You embed with logistics teams like freight forwarders, carriers, and 3PLs, learn how their operations actually run, and turn that mess into AI Workers that handle it end-to-end.

Part engineer, part product owner, part the person a customer calls when something has to work by tomorrow. You own the outcome from the first onboarding call to a system running live on their inbox and phone lines. You write the code, design the workflow, sit across from the ops manager, and ship.

This isn't a support role, and it isn't a pure backend role. It's the most direct line between real customer pain and what we build.

What You'll Do

• Embed with logistics operators, learn their workflows, and map the chaos into clear system design.

• Own onboarding end-to-end. Take new customers from first call to AI Workers running in production.

• Integrate with the messy reality of the enterprise logistics stack: TMS, ERP, email, telephony, EDI, SFTP, event queues, including the undocumented parts.

• Build fast across the stack (Python/FastAPI backend, front-end, LLM and agent workflows) to make each deployment actually fit the customer.

• Tune the AI. Prompts, agent workflows, evals, whatever it takes to make the Worker reliable on live operations.

• Feed what you learn on the ground straight back into product and technical direction.

• Own the outcome. If it's not working for the customer, you make it work.

Who You Are

• You take full ownership, from a customer's problem to a deployed, working system. No tickets, no waiting for a spec.

• You move fast and iterate, and you know when to shift from a quick fix to something robust and scalable.

• You build with AI, not just around it. AI-native development is how you think.

• You can sit with a non-technical ops manager and a database schema in the same hour, and be clear with both.

• You're comfortable with ambiguity and energized by being close to the customer.

• You want to be in the room. Munich office, in person. This isn't a 9-to-5, and it isn't remote.

What You Bring

• Strong software engineering fundamentals: Python, JavaScript/TypeScript, SQL, REST APIs.

• Hands-on experience integrating with someone else's stack: APIs, external systems, and the messy data in between.

• LLMs in production: prompt engineering, API integration, evals, agent tooling.

• Familiarity with enterprise data flows, event-driven architectures, or background job processing.

• Native or fluent German, plus the communication skills to be trusted in front of customers.

• Very big bonus: logistics, supply chain, or freight domain experience.