Software Engineer, Applied AI

Matrix42 AG
Frankfurt am Main, Germany
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English

Job location

Remote
Frankfurt am Main, Germany

Tech stack

Java
.NET
Artificial Intelligence
Amazon Web Services (AWS)
Architectural Patterns
Automation of Tests
Azure
C Sharp (Programming Language)
Cloud Computing
Code Review
Computer Security
Databases
Python
Key Management
Machine Learning
Object-Oriented Software Development
Standard Sql
Software Engineering
TypeScript
Web Applications
Web Services
Datadog
React
Large Language Models
Prompt Engineering
Model Validation
Technical Debt
Backend
GIT
Build Management
Bicep
Front End Software Development
REST
Terraform
Software Version Control
Automation Anywhere
Go
Microservices

Job description

Design and build the software that turns large language models into reliable, production-grade products. You'll work across the full stack - backend services, AI tooling, and user-facing interfaces

  • shipping features that let AI agents reason over data and act safely on behalf of users.

Responsibilities & Duties

  • Implement and design features: Develop high-quality software components - both conventional services

and AI/LLM-powered capabilities - that align with established architectural patterns and business requirements.

  • Task decomposition: Break down assigned features into manageable technical tasks and provide reliable

estimates for delivery timelines.

  • Code ownership: Write, maintain, and optimize clean, modular code, ensuring performance, scalability,

and (for AI features) cost and context efficiency are considered during implementation.

  • Quality assurance: Participate actively in code reviews, provide constructive feedback to peers, and

adhere to defined coding standards and quality protocols. Evaluate AI features for correctness, safety, and regressions.

  • Cross-functional collaboration: Coordinate with colleagues to clarify requirements and ensure

seamless integration of new features.

  • Knowledge sharing: Contribute to internal documentation to promote team-wide understanding of the

codebase and AI system behavior.

  • Process contribution: Identify opportunities for technical-debt reduction and suggest improvements to

the development workflow or toolset to increase efficiency., * Time for growth-A career framework to support your professional and personal growth with up to 6 extra days off per year foryourdevelopment.

  • Social Day- One paid day per year to give back: volunteer, support a cause, or attend an environmental event.
  • Bike leasing- Stay fit and sustainable.We'llhandle the contract and insurance.
  • Pick yourperk- Choose the benefit that fits your life best: fitness membership, public transport pass, retirement plan, or a monthly bonus.
  • Dog Friendly Office-Bring your furry coworker along. Just make sure theydon'tsteal anyone's lunch.

Hybrid work is a natural part of how we operate, but we also believe in the power of coming together. That's why we regularly connect in the office - whenever it makes sense. And that's just the beginning. Ask us what else is waiting for you!

Requirements

Do you have experience in Web services?, Do you have a Master's degree?, * Strong experience in at least one backend language and ecosystem (e.g. Python, TypeScript, Go, Java,

or C#/.NET).

  • Deep understanding of software design fundamentals - OOP, SOLID, and separation of concerns.
  • Expertise in developing RESTful web services and web applications.
  • Solid knowledge of SQL and database/data modeling.
  • Comprehensive knowledge of version control systems, particularly Git.
  • Experience writing automated tests (unit and integration).
  • Communication skills, with the ability to synchronize effectively within a team.
  • Proven experience working with scalable, high-performance systems.

AI / ML engineering

  • Hands-on experience building LLM-powered applications - prompt design, tool/function calling,

structured outputs, or RAG.

  • Understanding of how to make AI features reliable and evaluable - handling non-determinism, context

limits, latency, and cost.

  • Familiarity with agent patterns and orchestrating multi-step AI workflows.

Nice to have

  • Knowledge and experience with cloud technologies (Azure, AWS, or GCP); infrastructure-as-code (Bicep,

Terraform) a plus.

  • Experience with vector databases, embeddings, or retrieval pipelines.
  • Experience with model evaluation / observability tooling (e.g. tracing, prompt management, eval

frameworks).

  • Understanding of cyber security essentials (auth, secrets management, least-privilege access).
  • Experience developing and maintaining microservices.
  • Frontend experience (e.g. React/TypeScript) for building AI-driven user interfaces.

Benefits & conditions

Pulled from the full job description

  • Food provided
  • Flexible schedule

About the company

Our ambition is to be the European choice in service management! By using our platform, customers can manage IT and business processes, assets, endpoints, and identities for improved productivity, agility, security, and employee experience. By enabling digital working environments and IT self-service through holistic integration and automated processes, we digitalize and automate our customers' everyday tasks. Join our diverse team of 600 professionals spread across Europe. Our high performers culture is built on strong values (We love customers, Make it happen, Better every day, With respect), with customer success as our top priority. We support your personal and professional growth, helping you reach your full potential through personalized goals. Join us on a journey where you can thrive in both your career and life.

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