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> Djinni
lead

AI Engineer

format:Remote
llmraglangfuselanggraphsemantic kernelpythonazure ai foundryazure openaiany one ofazure ai foundryapi
qloravllmollamapower automateangulartypescriptdockerkubernetesci/cd
englishC1–C2
experience7+ years
domainAI
> full description

We are looking for a Technical Lead for generative AI. You will be the technical face towards an international client in a heavy-asset, maintenance-oriented industry, and you will design and lead the delivery of the solutions.

 

What you will do

  • Lead technical discussions with the client’s innovation team, together with our Managing Director
  • Translate operational problems in maintenance and logistics into concrete AI use cases
  • Design the architecture of GenAI solutions: advanced RAG, AI agents, document and data processing
  • Choose the right approach: custom development, Azure AI or Microsoft low-code (Copilot Studio, Power Platform)
  • Lead a small team of engineers and take solutions to production
  • Define how solutions are run, monitored and supported after go-live
  • Scope and estimate work realistically, in phases

     

Must have

  • 7+ years of software engineering, including at least 2 years building LLM-based solutions
  • At least one GenAI solution in production with real users, not only a prototype
  • Advanced RAG: hybrid search, reranking, chunking strategies, permissions, evaluation (e.g. RAGAS, Langfuse)
  • AI agents and tool calling (e.g. LangGraph, Semantic Kernel or similar)
  • Strong Python
  • Experience with Azure OpenAI or Azure AI Foundry
  • Integration with existing systems via APIs (ERP, SharePoint, M365, Entra ID)
  • Experience leading engineers or acting as tech lead on a project
  • Fluent English (C1+); comfortable presenting to senior client stakeholders
  • Honest communication: you say “I don’t know” and ask questions when needed

     

Nice to have

  • Fine-tuning (LoRA/QLoRA) or self-hosted open-source LLMs (vLLM, Ollama)
  • Copilot Studio, Power Platform, Power Automate, AI Builder
  • Angular / TypeScript
  • Industrial or OT data: time series, sensor data
  • Experience in maintenance, asset management, energy, logistics or supply chain
  • Docker, Kubernetes, CI/CD, monitoring

     

     

What we offer

  • A lead role on innovative GenAI use cases with an international industrial client
  • Direct collaboration with the Managing Director, short decision paths
  • Remote work, EU or nearshore