We are seeking a Senior AI Engineer to design, build, and scale enterprise-grade AI and Generative AI solutions. As part of a Business AI program, the team is building intelligent agents to streamline core enterprise processes and boost productivity. The goal is to free services professionals from repetitive tasks and accelerate time to value for customers. This role combines strong software engineering fundamentals with hands-on experience deploying LLM-powered systems into secure, production environments. You will drive initiatives from proof-of-concept through scalable enterprise deployment.

Details:

Schedule: Full time remote

Location: Europe-based

Capacity: 100% (40 hours/week)
Language: English (mandatory), German (nice to have)

Responsibilities

AI Solution Development
Design, develop, and deploy enterprise AI and GenAI services
Guide solutions from PoC to secure production rollout
Build and integrate multi-agent AI systems and LLM-based products
Work with SAP data products and underlying data architectures
Manage ingestion, transformation, caching, and indexing workflows
Support distributed systems and big data processing environments
Implement CI/CD pipelines and MLOps best practices
Automate model training, validation, testing, and deployment
Work with Azure ML, Databricks, or AWS environments
Implement secure API design, secrets management, and access control
Contribute to security concept design
Ensure observability, reliability, and compliance in AI deployments
Collaborate with AI Product Owners, Data Scientists, and stakeholders
Create architecture diagrams, ADRs, and technical documentation
Ensure high-quality, well-documented codebases

Required Experience

5+ years of professional software engineering experience
Strong Python expertise (mandatory)
Experience with Node.js or Java (at least one additional language)
Backend framework experience (FastAPI, Flask, or Django)
Microservices architecture experience
Docker and Kubernetes experience
Experience with GitHub Actions, MLFlow, or similar orchestration tools
Hands-on ETL, API integration, and model deployment experience
Experience implementing CI/CD and MLOps in cloud environments
Knowledge of distributed systems and big data platforms
Experience working in Agile frameworks (Scrum, Kanban)
Fluent English and strong problem-solving mindset

Nice to Have

Experience with multi-agent or GenAI frameworks (LangChain, CrewAI)
Familiarity with SAP AI Core and SAP BTP
Experience with Jira (Scrum, SAFe)

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