You enjoy turning complex challenges into practical solutions and are curious about how new technologies can create measurable value. You combine strong software engineering skills with a genuine interest in AI, cloud platforms and enterprise environments.

We believe you will thrive in this role if you bring:

• A Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning or a related discipline
• Solid experience in software engineering, preferably using Python
• Experience developing cloud-native applications and services
• Understanding of machine learning concepts and modern AI technologies
• Experience working with APIs, integrations and distributed systems
• Strong communication skills and the ability to work together with both technical and non-technical stakeholders
• A careful and structured approach to problem solving and solution design
• Curiosity, learning agility and enthusiasm for exploring emerging technologies

It is considered an advantage if you have experience with:

• Microsoft Azure and Azure AI services
• Large Language Models (LLMs) and Generative AI
• Retrieval Augmented Generation (RAG) architectures
• LangChain and LangGraph
• Databricks and modern data platforms
• CI/CD pipelines, automated testing and Infrastructure as Code
• Enterprise search, knowledge management and information governance

Technologies you will be working with:

AI & Machine Learning

• Large Language Models (LLMs)
• Retrieval Augmented Generation (RAG)
• LangChain
• LangGraph
• Prompt Engineering
• AI evaluation frameworks and quality assessment

Software Engineering

• Python
• FastAPI
• Quart
• Pydantic
• Pytest
• REST APIs

Cloud & Platforms

• Microsoft Azure
• Azure AI Services
• Azure Storage
• Azure Key Vault
• Azure Identity Services
• Databricks
• PostgreSQL

DevOps & Engineering Excellence

• GitHub
• GitHub Copilot
• CI/CD Pipelines
• Automated Testing
• Infrastructure as Code

Additional Information

Our offer 

• A challenging and independent job in an informal, d

You enjoy turning complex challenges into practical solutions and are curious about how new technologies can create measurable value. You combine strong software engineering skills with a genuine interest in AI, cloud platforms and enterprise environments.

We believe you will thrive in this role if you bring:

• A Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning or a related discipline
• Solid experience in software engineering, preferably using Python
• Experience developing cloud-native applications and services
• Understanding of machine learning concepts and modern AI technologies
• Experience working with APIs, integrations and distributed systems
• Strong communication skills and the ability to work together with both technical and non-technical stakeholders
• A careful and structured approach to problem solving and solution design
• Curiosity, learning agility and enthusiasm for exploring emerging technologies

It is considered an advantage if you have experience with:

• Microsoft Azure and Azure AI services
• Large Language Models (LLMs) and Generative AI
• Retrieval Augmented Generation (RAG) architectures
• LangChain and LangGraph
• Databricks and modern data platforms
• CI/CD pipelines, automated testing and Infrastructure as Code
• Enterprise search, knowledge management and information governance

Technologies you will be working with:

AI & Machine Learning

• Large Language Models (LLMs)
• Retrieval Augmented Generation (RAG)
• LangChain
• LangGraph
• Prompt Engineering
• AI evaluation frameworks and quality assessment

Software Engineering

• Python
• FastAPI
• Quart
• Pydantic
• Pytest
• REST APIs

Cloud & Platforms

• Microsoft Azure
• Azure AI Services
• Azure Storage
• Azure Key Vault
• Azure Identity Services
• Databricks
• PostgreSQL

DevOps & Engineering Excellence

• GitHub
• GitHub Copilot
• CI/CD Pipelines
• Automated Testing
• Infrastructure as Code

Additional Information

Our offer 

• A challenging and independent job in an informal, d