Location:Remote (Europe – CET Support)
Positions:2
Experience Level:Senior (6+ Years)
Preferred Locations:Germany, Poland, Hungary, or other nearshore European countries
About the Role
As part of our Business AI Program, we are building intelligent AI agents that streamline core business processes and significantly enhance productivity. These solutions will empower Sales and Post-Sales teams to focus on high-value customer engagement and accelerate time-to-value.
We are seeking a Senior AI / Generative AI Engineerwho combines strong software engineering fundamentals with hands-on production experience in LLM-powered systems. You will take AI initiatives from proof-of-concept to secure, scalable enterprise deployment.
Key Responsibilities
Design, Develop Deploy
- Architect and build enterprise-grade AI and Generative AI services.
- Drive solutions from POC through production-ready deployment.
Scalable System Architecture
- Design secure, scalable AI systems.
- Implement robust data pipelines and model deployment workflows.
CI/CD MLOps Excellence
- Establish best practices for CI/CD and ML Ops.
- Automate model training, testing, validation, and deployment processes.
Cross-Functional Collaboration
- Partner with AI Product Owners, data scientists, and business stakeholders.
- Translate business requirements into production-ready AI systems.
Multi-Agent LLM Innovation
- Develop and integrate multi-agent systems.
- Build LLM-powered products that deliver measurable business impact.
Reliability Compliance
- Ensure high standards in observability, reliability, governance, and security.
- Maintain compliance with enterprise architecture and regulatory requirements.
Required Skills Experience
✔ Experience
- 6+ years of professional software engineering experience.
- Proven track record deploying AI/LLM-based systems into production.
✔ Programming
- Strong expertise in Python (mandatory).
- Proficiency in Node.js or Java(at least one required).
✔ Backend Architecture
- Experience with FastAPI, Flask, or Django.
- Strong understanding of microservices architecture.
- Knowledge of distributed systems and scalable backend design.
✔ Containerization DevOps
- Hands-on experience with Docker and Kubernetes.
- Familiarity with orchestration and automation tools (GitHub Actions, MLflow).
✔ Cloud MLOps
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Experience building CI/CD and ML Ops pipelines in:
- Azure ML
- Databricks
- AWS
✔ Data Integration
- Experience with ETL processes.
- API integrations and data pipeline development.
- Model deployment and monitoring workflows.
✔ Agile Collaboration
- Experience working in Agile environments (Scrum, Kanban).
- Strong communication skills in English.
Proactive, solution-oriented mindset.
Nice to Have
Experience with multi-agent frameworks(LangChain, CrewAI).
Exposure to Generative AI architecturesand RAG pipelines.
Familiarity with SAP AI Core and SAP BTP.
Experience with Jira or SAFe frameworks.
What We’re Looking For
- A hands-on AI engineer who can bridge research and production.
- Someone who understands both LLM experimentation and enterprise scalability.
- A builder who prioritizes clean architecture, observability, and maintainability.
- A professional comfortable working in distributed European teams (CET hours).