Software Engineer with a focus on AI

Job description

We are looking for a skilled and motivated consultant to join our team. The ideal candidate should have a technical background and be able to provide support to our clients in using cloud-based solutions. We are looking for someone who has a solid understanding of Software Development, has an interest in Cloud-based Solutions, and shares our passion for Data and AI.

Responsibilities:

• Setting up development and deployment infrastructure (DevOps) in cloud or on-premises environments.

• Write software components in languages such as Java (Spring Boot), Python (PySpark, Flask), JavaScript/Typescript (Vue, React, Angular)

• Write test suites within different frameworks for both frontend and backend to ensure code quality

• Design and develop machine learning solutions, often utilizing cloud-based services on Cloud Providers like AWS, GCP, or Azure.

• Collaborate on the evaluation and integration of generative AI solutions

• Daily communication with the project team to identify appropriate technical solutions for given problems.

What we offer you:

• Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc.)

• Broaden your skills through interdisciplinary work and training in the areas of data engineering, cloud architecture, and data science

• Benefit from industry-leading cooperations in the cloud, BI, and AutoML field

• Very active social program - including training, conferences, team buildings, Reply Exchange, communities of practices, and hackathons

• Work in an open, flat environment, within a broad Reply knowledge-sharing network

• Award-winning office space in downtown Munich with access to “Stammstrecke”

• You choose your state-of-the-art equipment

• Public transport ticket with Deutschlandticket

• Gym membership subsidy for a gym of your choice or through Wellpass.

• Flexible work environment between client, Reply office, and remote work

Requirements

Minimum Job Requirements / Qualifications:

• Completed university studies with a strong quantitative background, for example in Data Science, Informatics, Computer Science, Engineering, or similar.

• Experience in at least two, but not limited to the following programming languages: Python, Java (Spring Boot, Hibernate), Rust, JavaScript

• Ability to convincingly communicate and present analytical results to stakeholders.

• We cover the full lifecycle of Data and AI, from Cloud Infrastructure, Data Engineering, Data Analytics, and Visualization to Data Science and MLOps. Hands-on experience in some of those fields is an advantage.

• Hands-on experience with large language models (LLMs), including prompt engineering, fine-tuning, and deploying generative AI solutions in production.

• Fluent in English and able to speak German at least at a B2 Level.

Desired:

• Knowledge and experience in cloud technologies.

• Awareness of the SOLID principles.

• Experience and/or understanding of Data Engineering and Data Science.

• Certificates from Cloud Providers are an advantage. University courses on subjects related to those would also be valued.

• Understanding of underlying database infrastructure (data models, ETL processes).

• Knowledge of technologies like Kubernetes, Docker, or Spark is a plus.

• Interest in (agile) project management.

• Familiarity with modern generative AI frameworks and tools, such as LangChain, Hugging Face Transformers, or OpenAI APIs, to build, orchestrate, and deploy advanced language model applications.