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AI Systems Engineer – MLOps & Cloud

Role overview

Qualifications

  • 3+ years of professional software engineering experience
  • Strong programming background in Python, C#, or C++
  • Proven experience integrating APIs, microservices, and distributed systems
  • Hands-on experience with containerisation technologies, orchestration tools, and cloud platforms (preferably AWS)

Responsibilities

  • Convert software prototypes into high-performance production applications
  • Integrate AI inference services into existing core product architectures
  • Develop and maintain robust REST APIs, microservices, and messaging interfaces
  • Deploy, monitor, and maintain AI-enabled software systems across AWS and container platforms

Key facts

  • Remote from: Germany
  • Full time
  • Mid-level (2-5 years)
  • Cloud Systems Engineer
  • English, German

Hard skills

Other skills

  • Analytical Thinking
  • Problem Solving
  • Lateral Communication

About the company

Interval Group logo

Interval Group

Business Consulting & Services

We provide high quality consulting and recruitment services to solve complex problems. Our wide range of services includes management consulting, programme delivery, technology transformation, digital, PR, training and more. At Interval, we believe in taking a fresh approach to helping organisations create the value they are looking for. We understand not only how to help clients achieve their goals, but also how to maintain and build upon them in the long-run.

Company details

Company typeSME
IndustryBusiness Consulting & Services
Company size51 - 200

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Job description

This is a remote position.

An established international developer of specialised software solutions, primarily within health tech and digital systems, is seeking an experienced AI Systems Engineer to bridge the gap between machine learning research and production-grade software. In this role, you will lead the integration of AI models and advanced processing pipelines into desktop, mobile, and cloud environments. Working cross-functionally across engineering, product, and data teams, you will optimise system performance, build robust APIs, and scale secure services across complex software architectures.

  • Full professional fluency in both German and English.

  • Eligibility & Residency in Germany, with occasional on-site presence required in Bavaria.


  • Responsibilities

    AI Integration & Platform Architecture
    • Convert software prototypes into high-performance production applications.

    • Integrate AI inference services into existing core product architectures.

    • Develop and maintain robust REST APIs, microservices, and messaging interfaces.

    • Support seamless integration with external software and partner systems.

    Operations & Cloud Deployment

    • Deploy, monitor, and maintain AI-enabled software systems across AWS and container platforms.

    • Collaborate with DevOps teams to establish CI/CD pipelines and containerised deployments.

    • Optimise system reliability, data processing workflows, and processing latency.

    • Diagnose and resolve integration and interoperability issues across desktop and cloud interfaces.

    Cross-functional Collaboration

    • Partner with QA, Product, Cloud, and Data teams to drive feature implementation.

    • Participate in technical planning and present progress on integration architecture.

    • Drive continuous improvement across software workflows and product quality.



    Requirements

  • 3+ years of professional software engineering experience.

  • Strong programming background in Python, C#, or C++.

  • Proven experience integrating APIs, microservices, and distributed systems.

  • Hands-on experience with containerisation technologies, orchestration tools, and cloud platforms (preferably AWS).

  • Foundational understanding of AI inference, data processing, and MLOps practices.

  • Demonstrated track record of deploying and troubleshooting production software.

  • Strong analytical, problem-solving, and cross-functional communication skills.

  • Experience with industry-standard machine learning frameworks, model optimisation engines, or deployment runtimes is advantageous.

  • Familiarity with enterprise software development or regulated systems is a plus.

  • Full professional fluency in both German and English.

  • Eligibility & Residency in Germany, with occasional on-site presence required in Bavaria.



  • Benefits

  • Key role shaping digital platforms for a global technology innovator.

  • Exposure to cutting-edge machine learning and cloud architectures.

  • High degree of ownership, autonomy, and strategic technical impact.

  • Annual salary and benefits package is available.



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    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
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