eMFusion Global

Remote within Germany | Permanent | Circa 5 years’ experience

The opportunity

We’re hiring an AI Full-Stack Engineer on behalf of a confidential client to build AI-powered business applications.

You’ll work across the full development lifecycle, turning ideas into reliable production software. This is a hands-on role combining full-stack engineering, applied AI and close collaboration with product and business stakeholders.

Client details will be shared during the recruitment process.

What you’ll do

• Build applications end to end, covering user interfaces, backend services, databases and cloud deployment.
• Develop frontends using React and TypeScript, with backend services in Python/FastAPI or Node.js.
• Integrate LLMs into applications for document analysis, knowledge retrieval and workflow automation.
• Build RAG pipelines using enterprise data, embeddings and vector search.
• Improve AI reliability through evaluation, monitoring, source citations and appropriate safeguards.
• Implement secure authentication, role-based access and data protection controls.
• Own automated testing, CI/CD and production performance.
• Collaborate with stakeholders on requirements, architecture and technical trade-offs.

What you’ll bring

• Around five years of professional software engineering experience, including substantial full-stack development.
• Strong React and TypeScript skills, alongside backend experience in Python or Node.js.
• Practical experience integrating LLMs or generative AI into applications, beyond using AI coding tools.
• Solid knowledge of APIs, relational databases and maintainable software architecture.
• Experience deploying applications on AWS, Azure or GCP.
• Familiarity with Docker, automated testing and CI/CD.
• Clear communication, ownership and effective remote collaboration.
• Professional proficiency in English. German is not required.

Five years of AI-specific experience is not expected.

Nice to have

• Experience with LangChain, LangGraph, LlamaIndex or similar frameworks.
• Knowledge of vector databases, LLM evaluation and observability.
• Experience building multi-tenant SaaS or enterprise integrations.
• Familiarity with Kubernetes, infrastructure as code or asynchronous processing.

The role offers

• Permanent employment.
• Remote working within Germany.
• Ownership across the full product lifecycle.
• The opportunity to build practical AI applications and influence engineering decisions.