Applied AI Engineer (f/m/x)

Description

Job Overview

• Role: Applied AI Engineer (f/m/x)
• Company: exmox GmbH
• Location: Hamburg
• Employment Type: professional / experienced
• Category / Department: Software Development
• Salary: Competitive / Not Disclosed — confirm during interview
• Key Skills / Technologies: Software Development
• Listing Source: Arbeitnow

Job Description

Your Mission

This is a company built for growth.

At exmox, you'll work on real systems at scale. We build high-performing consumer products used by millions in a highly competitive, global mobile gaming ecosystem powered by event-driven architectures, complex business logic, and fast feedback loops. We're scaling fast around one of the most exciting innovations in mobile gaming: a rewarded user engagement and acquisition platform that helps publishers acquire and retain players. That means distributed systems, evolving architectures, and problems that don't have textbook answers.

We are looking for an Applied AI Engineer (f/m/x) to design, build, and ship production-grade systems that weave large language models, agentic workflows, and generative AI tools into the core of our product and business operations. You will own the full lifecycle from prototyping an AI-powered automation to hardening it for production on AWS working in Python and FastAPI on a modern cloud-native stack.

This is not a research role. You will spend your time writing backend services, designing robust integrations with third-party AI APIs, and building agentic pipelines that replace manual business processes with intelligent, self-improving workflows.

If you're excited by complex systems, high traffic, and applied AI at scale, we want to hear from you.

What You’ll Own

• Backend development: Design and build performant, well-tested Python/FastAPI services that power AI-driven features and automations.
• Agentic workflow design: Architect multi-step AI agent pipelines using frameworks such as LangGraph, CrewAI, or custom orchestration layers. Define tool schemas, manage state, implement retry/fallback logic, and ensure human-in-the-loop controls where required.
• LLM integration: Integrate LLM providers (OpenAI, Anthropic, open-source models) via APIs and SDKs. Manage prompt engineering, context-window strategies, structured output parsing, streaming, caching, and cost optimization.
• Generative media API integration: Connect and orchestrate external AI creative tools such as Arcads, Seedance, Runway and more into automated content pipelines.
• Business process automation: Identify, propose, and implement AI-native automations across the organization from content creation workflows to data enrichment, QA, customer support, and internal tooling.
• Cloud & DevOps: Collaborate closely with our Platform team to deploy and operate services on AWS. Manage observability, and cost governance for AI workloads.
• Collaboration: Work closely with product, design, and business stakeholders to translate ambiguous business needs into concrete AI-powered solutions.

What You Bring

• Backend engineering: 5+ years of production Python experience, with strong hands-on knowledge of FastAPI or similar frameworks
• LLM integration: Proven experience building LLM-powered applications including prompt engineering, context management, structured outputs, and cost optimization across providers like OpenAI or Anthropic
• Agentic systems: Hands-on experience designing multi-step agent pipelines using frameworks such as LangGraph, CrewAI, or custom orchestration layers, including state management, tool schemas, and fallback logic
• API integrations: Experience integrating third-party APIs at scale, ideally including generative media or creative AI tools
• Engineering mindset: You write clean, tested, production-ready code and take full ownership of what you ship
• Stakeholder collaboration: Able to translate ambiguous business problems into concrete technical solutions, working closely with non-technical stakeholders

Nice to have:

• Generative media: Exposure to video, image, or audio generation APIs such as Runway, Seedance, or similar
• Human-in-the-loop: Experience with AI quality assurance or approval workflows
• Scale-up experience: Background in fast-paced, product-led environments

What You Can Expect

• Ambitious people, real ownership. Work with driven people who challenge each other openly and take full ownership of meaningful parts of the business.
• A company that prioritizes growth, performance, and impact. Comfort isn’t the goal here, progress is. We set a high bar and focus on delivering real results.
• A highly ambitious environment with a clear goal. Building the next European tech challenger is not just an idea, it is our mission. Everything we do is driven by the ambition to compete at the highest level and win.
• Direct exposure to leadership and real decision-making. You’ll work closely with experienced leaders, contribute to strategic discussions, and see how decisions shape the business in real time.
• Perks that help you focus on what matters. Transport subsidy, learning budget, wellness and gym, workation, bi-weekly team lunches, and more. The perks are great, but the real reason people join and stay is the challenge, the ownership, and the drive to win together.

Please note: this is not a remote only position, we offer you a flexible hybrid model here in Hamburg, Germany - working from home on Mondays & Fridays, coming to the office on Tuesday, Wednesday & Thursday!

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

exmox GmbH 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 Hamburg. 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 Applied AI Engineer (f/m/x) 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: Software Development. 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.