> Djinni
lead
AI Engineer
format:Remote
llmraglangfuselanggraphsemantic kernelpythonazure ai foundryazure openaiany one ofazure ai foundryapi
qloravllmollamapower automateangulartypescriptdockerkubernetesci/cd
> 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