Applied AI, Backend Engineer

odacova

. Further develop the platform across backend engineering/APIs and data engineering/applied AI .

Posted 10/2/2026full-timeDortmund • GermanyMid-LevelSenior💰 €40,000 - €60,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python-based backend development, REST API design, and machine learning applications, with a strong focus on data modeling and integration of AI technologies. Proficient in deploying and maintaining production systems while ensuring code quality and effective communication.

Highest-signal resume keywords

Python DevelopmentREST API DesignMachine LearningData ModelingCI/CD

ATS Keywords

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Hard Skills

PythonREST APIsData ModelingMachine LearningGenerative AILarge Language ModelsLinux/UbuntuGitDockerPostgreSQL

Soft Skills

Proactive CommunicationIndependent WorkReliable ApproachAbility to Prioritize

Tools & Technologies

CI/CDFirebaseGoogle CloudFirestore

Certifications & Qualifications

University Degree in Computer ScienceUniversity Degree in Data ScienceUniversity Degree in Business Informatics

Industry Keywords

Data EngineeringAI ApplicationsBusiness IntelligenceProduction Systems

Tech Stack

Tools & technologies

CloudDockerFirebaseJavaKotlinLinuxPostgresPythonGo

About the role

Key responsibilities & impact

Further develop the platform across backend engineering/APIs and data engineering/applied AI
Guide features from conception through data modeling and implementation to production deployment
Develop and enhance Python-based backend services
Design and implement REST APIs, data models, and application logic
Integrate external services and interfaces
Further develop data-driven business intelligence tools
Develop AI-powered analysis and reporting features
Integrate existing models and LLM APIs into production environments
Develop proprietary ML models based on domain-specific data
Build and maintain automated tests and technical documentation
Support deployments, monitoring, and CI/CD
Analyze logs and troubleshoot issues in live operations, without on-call or 24/7 duties
Work closely on product and operations topics

Requirements

What you’ll need

Completed university degree in Computer Science, Data Science, Business Informatics, or a comparable STEM discipline
Excellent knowledge of Python or a comparable backend language (e.g., Java, Kotlin, C#, or Go), along with a willingness to work productively with Python
Practical experience with REST APIs, data modeling, Linux/Ubuntu, and Git
Solid foundational knowledge of machine learning, generative AI, and large language models
Initial hands-on experience with AI applications, for example through university studies, a thesis, personal projects, or professional work
Willingness to systematically learn how to work with production systems and new technologies
Excellent German and English skills
As a general rule, the examination date on the degree certificate or diploma must not be more than two years before the start of employment; subsequent academic or research work may extend this period by its duration, up to a maximum of six additional years
Nice to have: Experience with Docker or CI/CD
Nice to have: Knowledge of PostgreSQL, Firestore, or comparable databases
Nice to have: Experience with Firebase, Google Cloud, or other cloud/serverless environments
Nice to have: Experience operating data- or AI-powered applications reliably
Independent, reliable, and responsible approach to work
Commitment to clear, maintainable, and well-tested code
Ability to prioritize changing tasks across backend, data, AI, and infrastructure effectively
Open and proactive communication

Benefits

Comp & perks

Opportunity to take on responsibility early in a growing company
Permanent full-time position with a 40-hour workweek
Workplace in Dortmund, in the immediate vicinity of TU Dortmund University
Hybrid working model with two shared office days per week
Flexible working hours
30 days of annual leave
Potential future option to receive virtual company shares (VSOP)
MacBook and iPhone for work
Structured onboarding and mentoring
Regular team activities and short decision-making paths