Role: AI Engineer with Azure

Location: Canada - Remote

Mode: Contract

Experience: 8+yrs

Responsibilities:

- Lead end-to-end AI engineering from design and development through testing and production deployment.
- Build LLM, RAG and Agentic AI solutions using Microsoft Foundry, Azure OpenAI and Azure AI Search.
- Develop RAG pipelines covering chunking, embeddings, vector/hybrid search, retrieval, reranking and grounding.
- Build AI agents, tool/function calling, structured outputs and enterprise API integrations.
- Lead code/design reviews, troubleshoot complex technical issues and ensure production readiness.
- Mentor AI engineers and convert architecture into executable engineering tasks.
- Work closely with AI Architects, Product Owners, business, data, cloud and security teams.

Required Skills:

- 8+ years of software engineering/application development experience.
- 3+ years of Azure/cloud-native development experience.
- Robust hands-on experience delivering GenAI/LLM,



RAG and Agentic AI solutions.
- Experience leading engineering teams and taking AI solutions from PoC to enterprise production.

Must-Have Skills:

- GenAI / LLMs, RAG and Agentic AI
- Microsoft Foundry, Azure OpenAI, Azure AI Search
- Python and REST APIs
- Prompt engineering and embeddings
- Vector/hybrid search and retrieval/reranking
- Function/tool calling and structured outputs
- LLM evaluation, grounding and hallucination mitigation
- Guardrails/content safety and context/token management
- Production-grade cloud application development and troubleshooting

Preferred Skills:

Azure Machine Learning, multimodal AI, AI monitoring/observability, Responsible AI, CI/CD and Azure DevOps

Regards

Praveen Kumar

Talent Acquisition Group – Strategic Recruitment Manager [email protected]| Themesoft Inc

📌 AI Engineer with Azure (Canada)
🏢 Themesoft
📍 Canada