Design and operate AI platforms: Build and manage the enterprise AI platform, integrating multiple LLM providers with routing, fallback strategies and cost control.
Develop reusable AI services: Develop scalable APIs and services to support agents, copilots and business applications throughout the organisation.
Build intelligent agents and workflows: Design autonomous and multi-agent systems capable of reasoning, planning and executing complex business processes.
Enable enterprise integrations: Drive end-to-end automation by connecting AI solutions to enterprise platforms such as Microsoft 365, SharePoint, Salesforce and Jedox.
Implement RAG architectures: Develop advanced retrieval systems using hybrid search, vector databases and semantic indexing to ensure accurate, grounded outputs.
Optimize AI performance: Ensure high system reliability while monitoring and improving latency, cost efficiency and inference performance.
Establish evaluation frameworks: Define metrics and testing strategies to ensure the accuracy of the AI, detect hallucinations, and evaluate its overall quality.
Ensure AI safety and governance: Maintain compliance and trustworthiness by implementing guardrails, monitoring systems and governance frameworks.
Manage AI lifecycle: Oversee prompt versioning, model management and CI/CD pipelines to maintain robust production deployments.

8+ years in software engineering, including 3+ years delivering production-grade AI applications
Proven experience building and scaling enterprise AI solutions used by real users
Strong expertise in LLMs, RAG, and AI agents, including multi-agent systems and business process integration
Solid programming skills (Python) and experience with modern development practices (APIs, Docker, CI/CD)
Strong understanding of cloud-native architectures (especially Azure), vector databases, and semantic search
Hands-on experience with leading AI platforms (e.g., Azure OpenAI, AWS Bedrock, Copilot Studio)
Familiarity with AI frameworks (e.g., LangChain, LangGraph), observability, and AI governance
Excellent English communication skills are required.

Flexible work: we love to work together in the offices as #Oneteam, but we also enjoy the possibility of working from everywhere and owning working hours.
Take time to care for yourself: We offer generous vacation time and comprehensive health benefits plans, including Pension plans.
Plan for your future: Planning means something different to everyone. Work with your Line Manager to implement a career growth plan that suits your path.
Reduce your footprint: All offices are centrally located and can be easily reached via public transportation. Most Jedox offices offer public transit reimbursement or other perks like bike leasing.
High-impact working environment: we enjoy flat hierarchies and short decision-making processes.
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AI Platform Engineer

Key skills