Real product responsibility
You will work on core product capabilities, not isolated tickets. The team is small enough that good engineering judgment directly shapes the product.
Careers at EONIQ
We are strengthening our developer team to build LogiSense TMS: purpose-built transport management software for finished-vehicle logistics.
EONIQ is a small product team building LogiSense TMS, an AI-native transport management system for finished-vehicle logistics carriers.
The work sits where software engineering, AI-assisted product development, and real logistics operations meet. We work close to customers, make pragmatic product decisions, and care about systems that solve actual operational problems.
This page is the destination for job announcements, LinkedIn posts, and direct conversations with developers who want meaningful ownership in a focused product company.
We are looking for people who combine strong engineering fundamentals with curiosity for AI-native product development.
You will work on core product capabilities, not isolated tickets. The team is small enough that good engineering judgment directly shapes the product.
We use AI where it improves implementation speed, configuration, workflows, and user experience. The goal is useful software, not AI theater.
Finished-vehicle logistics has concrete constraints, data flows, and planning problems. You will build software against real workflows with direct market feedback.
The role sits directly on the product surface of LogiSense TMS: planning, execution, maps, integrations, data models, and AI-supported workflows. The page below still contains the full announcement, but this is the core of the work.
LogiSense TMS product surfaces: planning, control center, maps, and execution workflows.
Full-time · Permanent position · Düsseldorf / hybrid
At EONIQ, we are currently building the core team for a new enterprise software product: LogiSense TMS, an AI-native transport management system for finished vehicle logistics.
We are looking for developers who do not understand full stack as a buzzword, but can genuinely think across the entire application: data model, backend, APIs, frontend, UX, AI workflows, integrations, and productive use by customers.
And we are looking for people who do not just find AI interesting, but want to actively rethink software development with it.
With LogiSense TMS, we are developing a transport management system specifically for vehicle logistics and car carrier operations.
This is not a generic SaaS app, and it is not traditional project development either. We are building a real product for a very specific industry: contracts, VIN-level execution, dispatching, transport planning, optimization, tracking, invoicing, integrations, and AI-supported workflows in one system.
The role is mainly product-focused. At the same time, enterprise software is never completely detached from customers: customer-specific requirements, integrations, implementations, and occasional on-site meetings are part of the work.
You will work on new features and improvements across the application. This includes, for example:
Most of the time, the work is not about isolated backend or frontend tickets, but about real domain-driven cross-sections through the application.
You do not have to be perfect at everything. But you should bring a solid technical foundation and the motivation to develop quickly.
What matters to us:
We are especially interested if you have already built your own side projects with AI, worked with LLM APIs, or explored skills, MCP servers, agent workflows, or similar approaches.
Nice to have, but not required:
We are open regarding seniority level.
You may be at the beginning of your career if you are exceptionally pragmatic, quick to learn, and AI-affine. You may also have many years of experience and feel that software development is fundamentally changing, and that you want to start something new again.
Maybe you currently work in an established software environment, are deeply engaged with AI, and feel that you want to be closer to product, technology, and impact.
If so, we could be a very good fit.
We are not looking for a traditional lead role or a hierarchy position. We are building a small, strong core team where everyone takes on a lot of responsibility and works directly on the product.
We do not offer corporate structures or artificial startup theater. What we do offer is real responsibility, high speed, and a lot of room to build things.
AI-supported development is not a side experiment for us. It is a central part of how we work.
We do not use AI only to write code faster. We think about how architecture, product development, implementation, and user experience change when AI becomes part of both the system and the development process.
That also means we set high standards for ourselves. We want to become technically better, learn faster, and push each other forward.
At the same time, we are pragmatic. We are building a product for real customers, real processes, and real operational problems. Theory alone is not enough. Things have to work.
The role is hybrid in Düsseldorf.
At the moment, we work together in the office roughly two days per week. If you would like to be on site more often, that is of course possible. What matters is that you can come to Düsseldorf regularly.
Please send us a short email with your CV to: jobs@eoniq.ai
Feel free to also include:
Your contact person is Sebastian Kocks, CTO.
We are especially looking forward to hearing from people who are not simply looking for their next developer job, but want to build a strong AI-native software company together with us.
The process is intentionally lean: enough time to understand each other technically and personally, without dragging things out.
A compact phone or video call to understand your background, motivation, and fit for the role.
An in-person meeting with the team, usually at our Düsseldorf office.
A small development task or a joint technical discussion around product, architecture, and AI-native workflows.
A clear decision and next steps, without unnecessary process loops.
Send us a short email with your CV and, if available, your GitHub profile, side projects, or examples of how you use AI in development today.