Applied AI Engineer (f/m/x) - Remote

exmox GmbH·Remote(Hamburg)
Software Development

WFA Digital Insight

Demand for applied AI engineers grew significantly in recent years, with a 25% increase in job postings in 2025. As the remote job market continues to evolve, professionals with expertise in AI, Python, and cloud-native technologies are in high demand. Exmox GmbH stands out with its innovative approach to mobile gaming and rewarded user engagement. With a strong focus on digital skills and remote work, this company is an attractive choice for those seeking a challenging and dynamic environment. Before applying, candidates should be prepared to showcase their experience with AI-powered automation, backend development, and collaboration with cross-functional teams.

Job Description

About the Role

The Applied AI Engineer role at exmox GmbH is a unique opportunity to work on real systems at scale, designing and building production-grade AI-driven systems that integrate large language models, agentic workflows, and generative AI tools. As a key member of the team, you will collaborate closely with product, design, and business stakeholders to translate ambiguous business needs into concrete AI-powered solutions. Your work will have a direct impact on the company's growth and success in the competitive mobile gaming ecosystem.

Exmox GmbH is a company built for growth, with a strong focus on innovation and customer engagement. The company's rewarded user engagement and acquisition platform is used by millions of users worldwide, and the Applied AI Engineer will play a crucial role in scaling and improving this platform.

What You Will Do

  • Design and build performant, well-tested Python/FastAPI services that power AI-driven features and automations
  • Architect multi-step AI agent pipelines using frameworks such as LangGraph, CrewAI, or custom orchestration layers
  • Integrate LLM providers (OpenAI, Anthropic, open-source models) via APIs and SDKs, managing prompt engineering, context-window strategies, and cost optimization
  • Connect and orchestrate external AI creative tools (e.g., Arcads, Seedance, Runway) into automated content pipelines
  • Identify, propose, and implement AI-native automations across the organization, from content creation workflows to data enrichment, QA, customer support, and internal tooling
  • Collaborate closely with the Platform team to deploy and operate services on AWS, managing observability and cost governance for AI workloads
  • Work closely with product, design, and business stakeholders to translate ambiguous business needs into concrete AI-powered solutions
  • Own the full lifecycle of AI-powered automation, from prototyping to production, on a modern cloud-native stack
  • Design and implement robust integrations with third-party AI APIs, ensuring seamless communication and data exchange

What We Are Looking For

  • 5+ years of production Python experience, with strong hands-on knowledge of FastAPI or similar frameworks
  • Proven experience building LLM-powered applications, including prompt engineering, context management, and cost optimization
  • Hands-on experience designing multi-step agent pipelines using frameworks such as LangGraph, CrewAI, or custom orchestration layers
  • Experience integrating third-party APIs at scale, ideally including generative media or creative AI tools
  • Strong engineering mindset, with a focus on writing clean, tested, production-ready code
  • Ability to collaborate effectively with non-technical stakeholders, translating ambiguous business needs into concrete technical solutions
  • Strong understanding of cloud-native technologies and DevOps practices
  • Experience with AWS and cloud-based services

Nice to Have

  • Exposure to video, image, or audio generation APIs (e.g., Runway, Seedance)
  • Experience with AI quality assurance or approval workflows
  • Background in fast-paced, product-led environments
  • Knowledge of agile development methodologies and version control systems (e.g., Git)

Benefits and Perks

  • Competitive salary and benefits package
  • Opportunity to work on cutting-edge AI technologies and contribute to the company's growth and success
  • Collaborative and dynamic work environment with a team of experienced professionals
  • Flexible working hours and remote work options
  • Professional development and training opportunities
  • Access to the latest technologies and tools
  • Recognition and rewards for outstanding performance
  • Comprehensive health insurance and wellness programs,

How to Stand Out

  • Showcase your experience with AI-powered automation and backend development in your resume and cover letter.
  • Be prepared to discuss your approach to prompt engineering and context management during the interview process.
  • Highlight your ability to collaborate effectively with non-technical stakeholders and translate ambiguous business needs into concrete technical solutions.
  • Emphasize your understanding of cloud-native technologies and DevOps practices, including experience with AWS and cloud-based services.
  • Prepare to discuss your experience with agile development methodologies and version control systems (e.g., Git).
  • Research the company's products and services, and be prepared to discuss how your skills and experience align with their goals and objectives.
  • Ask informed questions during the interview process, such as 'What are the biggest challenges facing the AI engineering team, and how do you see this role contributing to the company's growth and success?'

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