AI Platform Engineer

🕒 July 24

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🏗️ Platform Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Jedox

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2002

☁️ SaaS

💸 Finance

🏢 Enterprise

SaaS • Finance • Enterprise

Jedox is a SaaS company that provides an integrated planning, budgeting, forecasting, and enterprise performance management (EPM) platform for finance and operational teams. It combines no-code/low-code tools, data integration, and AI-driven capabilities (JedoxAI) to automate FP&A processes, enable scenario modeling, financial consolidation, reporting, and real-time insights. Jedox is aimed at enterprise and corporate finance users to improve decision-making, streamline reporting, and drive finance-led digitalization.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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. • Generous vacation time and comprehensive health benefits plans, including Pension plans. • Work with your Line Manager to implement a career growth plan that suits your path. • Most Jedox offices offer public transit reimbursement or other perks like bike leasing. • Flat hierarchies and short decision-making processes. • Corporate discounts across many brands and products.