What project we have for you
The AI Product Family delivers enterprise LLM agents and AI services integrated with our Microsoft ecosystem. We run on Azure (Azure OpenAI/LLMs, Azure Functions, AI Search/vector, Service Bus, Storage, Key Vault) and connect securely to CRM, ERP, Microsoft Graph, and SharePoint. You’ll establish patterns for prompt engineering, multi-agent design, RAG, and ship reusable components that accelerate future solutions.
What you will do
• Lead AI architecture & patterns for LLM apps and multi-agent workflows (tool/function calling, memory, orchestration).
• Build hands-on services and agents in Python (primary) and/or .NET running on Azure Functions.
• Implement RAG pipelines (embeddings, chunking, grounding via Azure AI Search/vector); define evals and guardrails.
• Integrate securely with CRM, ERP, Microsoft Graph, SharePoint, and other enterprise APIs.
• Engineer and review prompts: establish style guides, versioning, test harnesses; improve quality, latency, and cost.
• Extend the platform with reusable agents, tools, connectors, and documentation.
• Mentor IT engineers; run code/prompt reviews and upskill sessions.
• Partner with DevOps on CI/CD, telemetry, cost tracking, security, and RBAC.
What you need for this
• 5+ years in software/AI engineering, including 2+ years building LLM applications.
• Deep experience with LLMs (Azure OpenAI/OpenAI/OSS), Semantic Kernel, prompt engineering, function/tool calling, and multi-agent design.
• Strong .NET; production services on Azure Functions.
• Production RAG experience (embeddings, vector stores – Azure AI Search), grounding, and evaluation.
• Proven API integration with Microsoft Graph, SharePoint, CRM, ERP (Business Central).
• Solid Azure fundamentals: Service Bus/eventing, Storage, Key Vault, Managed Identity/RBAC.
• Collaboration and mentoring skills; ability to lead design reviews and guide engineers.
• English B2+.
Will be a plus:
• .NET for services/integrations.
• Power Platform (Copilot Studio/Power Apps, custom connectors) to surface AI capabilities.
• Orchestration frameworks: Semantic Kernel, LangChain, LangGraph, AutoGen.
• LLMOps/observability: prompt/versioning, eval frameworks (Ragas/DeepEval), tracing (OpenTelemetry).
• Security, privacy/GDPR, Responsible AI practices.
What it’s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
Key Skills
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- Posted
- Aug 22, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Ukraine
- Company
- Intellias
Industries
Categories
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