Senior AI Software Engineer - 6+ months - remote - ASAP

Red - The Global SAP Solutions Provider

Germany

20 days ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

6 years minimum

Working hours

Regular working hours

Job source

www.careerboard.com

Tech stack

Java (Programming Language) Artificial Intelligence Microsoft Azure C Sharp (Programming Language) Cloud Computing Cloud Engineering DevOps Python (Programming Language) Software Engineering Software Systems Web Applications Cloud Platform System

+8 more

ReactJS Large Language Models Spring-boot AngularJS Kubernetes Apache Kafka Terraform Serverless Computing

Job description

We are looking for a Senior AI Software Engineer to design, develop, and operate modern cloud-native web applications with a strong focus on AI-powered product capabilities. The role combines full-stack software engineering, cloud technologies, and DevOps while integrating AI-native features into scalable SaaS solutions.

Tasks:

Design, develop, and maintain full-stack web applications across Front End, Back End, and cloud environments.
Build and integrate AI-powered features using LLMs, retrieval, tool orchestration, and structured workflows.
Develop and operate cloud-native services with a focus on scalability, reliability, security, and performance.
Collaborate closely with Product Management, UX, Architects, and Engineering teams to deliver high-quality software solutions.
Contribute to DevOps practices, AI engineering standards, and the continuous improvement of development workflows.

Requirements

Extensive experience as a Full-Stack Software Engineer with React or Angular and Java/Spring Boot or Python.

Strong knowledge of cloud-native architectures, Kubernetes, Terraform, Helm, ArgoCD, and modern DevOps practices.
Hands-on experience integrating AI technologies, including LLMs, AI-assisted software development, or agent-based workflows.
Experience with modern technologies such as Kafka, C#, and cloud-based application development.
Experience with Azure OpenAI, Anthropic SDK, MCP, or AI engineering frameworks is considered a strong advantage.