AI Engineer for Industry digitalisation product (m/f/d)

Description

Job Overview

• Role: AI Engineer for Industry digitalisation product (m/f/d)
• Company: JUSTROCKET
• Location: Frankfurt am Main
• Employment Type: berufserfahren
• Category / Department: Engineering
• Salary: Competitive / Not Disclosed — confirm during interview
• Key Skills / Technologies: Engineering
• Listing Source: Arbeitnow

Job Description

We love challenges. We love to build. We love to make things happen.
At JUSTROCKET, we're assembling the brightest minds to create exceptional teams and an ecosystem of like-minded and execution-oriented experts.

About the project:

The Partner we are hiring for is a fast-scaling PropTech Company headquartered in Frankfurt, Germany.

The well-funded scale-up is the leading software provider for digital work instructions, checklists, and protocols. They are creating a platform where companies lay the foundation for digitized production and reduce the effort for their process documentation.

Industrial companies from all industries benefit from the targeted digitization, as it is now much easier for them to provide all relevant information to their employees at the right time and in the right place.

This role is based in Frankfurt, Germany, Hybrid-Modell.

Some more interesting project facts

💡 Cloud-based SaaS product targeted at customers all around the world

💡 Modern web-tech stack built on TypeScript, NodeJS, and Angular

💡 Focused on building a sustainable, long-term product with solid technical foundations

💡 Young and ambitious team with members from over 8 countries

💡 The team is committed to solving hard problems for the users by working hand in hand with the customers and building innovative features they really need

Aufgaben

We are looking for an AI Engineer (m|f|d) to join our Partner in Frankfurt am Main. You'll play a key role in bringing AI concepts to life in production-ready, customer-centric applications, spanning from quick prototypes all the way to scalable product features.

You will become a key member of a cross-functional product team, actively shaping a long-term vision: an AI Assistant that supports operations teams across all production workflows from planning and execution to analysis and continuous improvement.

As part of your daily business, you will:
⏩ Design, develop and deliver AI-powered features end-to-end: from proof of concept to production on our Partner's stack (Angular, Node/TypeScript, PostgreSQL, Azure)

⏩ Evaluate and integrate AI/ML services, APIs, and open-source models to solve real customer problems (document processing, root-cause analysis, ERP/MES integrations)

⏩ Shape the AI/ML tech stack with real ownership over tools, frameworks, and architecture

⏩ Build and maintain eval frameworks to ensure AI outputs meet quality, reliability, and safety standards

⏩ Collaborate with product and engineering, identify high-impact AI opportunities, and grow AI competency across the team

Qualifikation

You shall bring:

✅ 5+ years of experience as a Software Engineer with proven hands-on AI/ML experience (e.g. LLM integration, data pipelines, ML model deployment)

✅ Strong software engineering fundamentals: writing well-structured application code (not just notebooks or scripts) with modern development practices

✅ Experience with modern AI/ML frameworks such as LangChain/LangGraph, vector databases, and OpenAI APIs

✅ Familiarity with TypeScript and web frameworks

✅ The ability to move fast from proof of concept to production, with an experimental yet methodical approach

✅ Strong conceptual thinking — able to connect the dots and communicate technical trade-offs clearly to both technical and non-technical stakeholders

✅ Professional proficiency in both German and English (written and spoken)

Nice to have qualifications:

⏩ Experience with Azure OpenAI Services, LangGraph, and pgvector/RAG architectures

⏩ Background in industrial or manufacturing software (MES, ERP integrations)

⏩ Experience writing architectural decision records or cost/build-vs-buy analyses

We have a cutting-edge tech stack and don't need to rely on any legacy projects.

The general tech stack of the project is:

🖥 NodeJS

🖥 Typescript

🖥 Angular

🖥 Docker-based CI/CD processes

🖥 Azure OpenAI Services & LangGraph

🖥 Cloud technologies: Microsoft Azure (IaC, Kubernetes, ArgoCD)

Benefits

The partner provides

💪 Assistance in setting up the project/integrating with the team

💪 A role with real ownership and architectural influence from day one

💪 Participation in a Virtual Stock Option Program (VSOP)

💪 Free choice of hardware

💪 30 days of vacation, flexible working hours including remote options

💪 A personal development budget

💪 Possibility to work remote (we will empower a flexible hybrid mode forever)

💪 Company-wide events and a collaborative team culture

💪 anything you are missing – let's talk!

Some final words

You will be joining a dynamic and crossborder team in Frankfurt, working closely together with product owners, UX/UI, and the overall development team.

If you have any further questions feel free to contact us any time!

Looking forward to meeting you for a (virtual) coffee or tea ☕️

Find Jobs in Germany on Arbeitnow

Salary & Compensation

The salary for this position has not been publicly disclosed. Compensation is typically determined based on your experience, skills, and interview performance. Use your research on industry benchmarks and the cost of living in the role's location to negotiate effectively.

In addition to base salary, many employers in this sector offer a comprehensive benefits package that may include:

• Annual or performance-based bonuses
• Health, dental, and vision insurance
• Provident Fund (PF) and Gratuity contributions (India)
• Paid Time Off (PTO), sick leave, and public holidays
• Professional development budget and learning allowances
• Stock options or Employee Stock Ownership Plans (ESOPs) at select companies
• Flexible or remote working allowances
• Parental leave and family health coverage

Note: The specific benefits offered by this employer should be confirmed during the offer stage. Not all benefits listed above may apply to every organisation or role type.

Work Arrangement

Type: On-Site / Full-Time

This is an on-site, full-time position. You will be expected to report to the office or designated work location during standard business hours, Monday through Friday. Some companies offer flexible start and end times or occasional work-from-home days at the manager's discretion. The company fosters a collaborative environment with open workspaces, dedicated meeting rooms, and structured team events.

Typical Interview Process

While each organisation structures its hiring differently, candidates for this type of role typically go through the following stages:

1. Resume / Application screening by the recruiting team
2. Technical phone or video screening (30–45 min) covering fundamentals
3. Take-home coding assignment or technical assessment
4. Two to three rounds of technical interviews (algorithms, system design, or domain knowledge)
5. Behavioral / culture-fit interview with the hiring manager
6. Offer discussion and reference checks

Tip: Candidates are encouraged to review common data structures, algorithms, and system design concepts before the technical rounds.

About the Employer

JUSTROCKET is the organisation posting this opportunity. While full company details are available on the original job listing, here is what you should research before applying:

• Company size and culture: Review the company's LinkedIn profile, Glassdoor reviews, and their official website to understand team size, work culture, and employee satisfaction.
• Products and services: Familiarise yourself with what the company builds, sells, or delivers. Being knowledgeable about their offerings will set you apart during interviews.
• Recent news: Search for any recent fundraising, acquisitions, product launches, or leadership changes — these often come up in interviews and signal company health.
• Location and offices: The role is based in or around Frankfurt am Main. Confirm office address, remote policy details, and travel requirements during the process.
• Where this listing was found: This job was sourced from Arbeitnow.

How to Apply & Preparation Tips

To apply for the AI Engineer for Industry digitalisation product (m/f/d) position, follow these steps:

1. Tailor your resume: Customise your CV to match the specific requirements listed in the job description. Use keywords from the posting to pass Applicant Tracking System (ATS) filters.
2. Write a compelling cover letter: Even if not mandatory, a concise cover letter demonstrating your enthusiasm and fit for the role significantly improves your chances.
3. Apply via the original listing: Use the apply link on the original job post to submit your application. Avoid applying through third-party channels that may delay or lose your submission.
4. Prepare for phone screening: Be ready for an initial call within 3–7 business days of applying. Have your resume and a quiet space ready.
5. Follow up professionally: If you haven't heard back in 7–10 business days, a brief, polite follow-up email to the recruiter is acceptable and often appreciated.

Key skills relevant to this role include: Engineering. Ensure these are prominently featured on your resume and LinkedIn profile.

Disclaimer: This listing is aggregated from a public job board for informational purposes. JobSetuu does not guarantee the accuracy or current availability of this position. Always verify the details on the employer's official careers page before applying.