About the job
Join a prominent global consulting and professional services firm dedicated to large-scale enterprise transformation initiatives. Our team is at the forefront of AI integration across key business functions, empowering a major international software company to fully embrace a data-driven approach.
As an AI Engineer, you will work within a diverse, international team to deliver enterprise-level AI solutions that revolutionize operations within Finance, Procurement, and HR sectors. The primary focus will be on practical deployment—designing, constructing, and scaling production-ready AI systems utilizing contemporary cloud and engineering methodologies.
Key Responsibilities:
- Architect, develop, and launch AI and generative AI (LLM-based) solutions from initial concepts to full-scale enterprise applications.
- Establish and sustain scalable data pipelines and model deployment workflows.
- Create backend services and APIs for AI-based applications (e.g., FastAPI, Flask).
- Implement CI/CD and MLOps methodologies to automate model training, testing, and deployment processes.
- Develop and integrate multi-agent and LLM-based systems into existing business workflows.
- Guarantee the reliability, scalability, observability, and compliance of deployed solutions.
- Collaborate closely with product owners, data scientists, and architects to effectively translate business requirements into technical solutions.
- Promote engineering excellence and mentor junior team members as necessary.
Qualifications:
- Bachelor's degree in Computer Science or a related discipline.
- Proficient programming skills in Python (Java is also acceptable).
- Experience with backend frameworks (FastAPI, Flask, Django, or similar).
- Hands-on experience with Docker and Kubernetes.
- Familiarity with CI/CD and MLOps pipelines.
- Cloud technology experience (Azure, AWS, or Databricks).
- Background in data processing, ETL pipelines, and APIs.
- Understanding of distributed systems and large-scale data platforms.
- Excellent communication skills in English.
- A proactive, solution-oriented mindset with a strong sense of ownership.
Preferred Skills:
- Experience with generative AI or LLM frameworks (e.g., LangChain, CrewAI).
- Familiarity with enterprise platforms such as SAP AI Core or SAP BTP.
- Experience in Agile environments (Scrum, SAFe) and tools like Jira.
Benefits:
- Engage in transformative AI projects at a significant scale.
- Work with a modern tech stack and cutting-edge AI technologies.
- Collaborate in an international and supportive work environment.
- Enjoy a hybrid working model.
- Access continuous learning and professional development opportunities.
- Receive a competitive compensation package with standard corporate benefits.
- Be part of a team culture that prioritizes quality and innovation.

