AI Engineer

Job Title : AI Engineer

Location : Dublin, CA (Hybrid – 3days Onsite)

Duration : 3 + Month Contract

Job Description

·        At least four years of software engineering, AI/ML development, or related technical experience.

·        Hands-on experience developing and deploying AI/ML or intelligent automation solutions in production or near-production environments.

·        Microsoft Azure AI experience, including Azure AI Foundry, Azure OpenAI, and Azure AI Search.

·        Hands-on experience building and delivering agents in both Copilot Studio and Azure AI Foundry Agent Service.

·        Experience with Power Automate, Power Apps, and Dataverse integrations.

·        Strong understanding of generative AI, RAG, prompt engineering, vector databases, knowledge grounding, and orchestration patterns.

·        Strong Python development experience.

·        Experience with LangGraph, LangChain, and OpenAI or Azure OpenAI SDKs.

·        Experience developing and integrating APIs and REST services.

·        Familiarity with MuleSoft, Azure API Management, or Microsoft Graph connectors.

·        Working knowledge of AI gateways, Model Context Protocol, agent interoperability, and tool orchestration.

·        Experience with Git, GitHub Copilot, Visual Studio Code, CI/CD pipelines, testing, debugging, and modern DevOps practices.

·        Understanding of AI security, data privacy, responsible AI, regulatory compliance, and AI FinOps.

·        Strong communication, collaboration, analytical thinking, and problem-solving skills.

Must Have the skills

·        Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related technical discipline.

·        Microsoft Azure AI Engineer Associate certification

·        Microsoft Power Platform Developer Associate certification

·        Microsoft Azure Developer Associate certification

·        Computer vision experience with Azure AI Vision, Azure AI Video Indexer, or OpenCV

·        Experience with AutoGen or other multi-agent orchestration frameworks

·        Exposure to LLMOps tooling and production lifecycle management

·        Retail technology experience, particularly within store operations, customer experience, supply chain, or merchandising