AI Engineer (26-00226) -

Job Title

AI Engineer

Location

2-3 days onsite in Dublin, CA

Long Term Contract

Job Description

• Design, build, test, deploy, and support AI assistants and agents using Copilot Studio and Azure AI Foundry Agent Service.
• Determine whether low-code or pro-code development is most appropriate for each solution.
• Build agentic workflows and multi-agent orchestration using Copilot Studio, Power Platform, Python, SDKs, and APIs.
• Develop RAG pipelines involving data ingestion, vector indexing, prompt engineering, knowledge grounding, and enterprise data sources.
• Participate throughout the SDLC, including requirements, design, development, testing, deployment, and production support.
• Write clean, maintainable, and well-documented code.
• Support CI/CD pipelines and LLMOps practices for models, prompts, and agent lifecycles.
• Integrate AI solutions with Cosmos DB, Dataverse, SQL databases, file systems, SaaS platforms, and other enterprise applications.
• Work with MuleSoft, Azure API Management, Azure Integration Services, Microsoft Graph connectors, AI gateways, and MCP.
• Implement security, privacy, responsible AI, content-filtering, and governance controls.
• Participate in architecture reviews, delivery planning, estimation, technical demonstrations, workshops, and documentation

Must have Experience

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