Senior AI Engineer – Agentic AI Solutions | Microsoft Azure
Role Overview
Hands-on senior engineering role reviewing, enhancing, and developing enterprise AI agents and intelligent automation using the Microsoft Azure AI ecosystem.
The portfolio includes production AI agents, including solutions built by external technology partners.
Key Skills for This Role
Full Job Posting
Role overview
Hands-on senior engineering role reviewing, enhancing, and developing enterprise AI agents and intelligent automation using the Microsoft Azure AI ecosystem.
The portfolio includes production AI agents, including solutions built by external technology partners.
Work arrangement
- Remote for the first two months, with possible relocation to Abu Dhabi for an onsite or hybrid engagement after evaluation.
- Contract extension is subject to performance. The description repeats this condition with a typographical duplication.
Core responsibilities
- Assess partner solutions, architecture, code, prompts, workflows, security, performance, and deployed Azure resources.
- Design and build agentic and multi-agent solutions, including tool integrations, MCP, and workflow orchestration.
- Improve production agents and optimize reliability, model use, latency, and operating costs.
- Build RAG and intelligent document-processing pipelines and integrate AI agents with enterprise systems.
- Establish evaluation, testing, observability, security guardrails, CI/CD, and production deployment practices.
- Provide technical guidance, code reviews, engineering standards, and documentation.
Required qualifications
- 6+ years in software, AI, or machine learning engineering, including at least 2 years deploying production LLM-powered or agentic AI applications.
- Strong Python, REST API, asynchronous programming, and software architecture experience.
- Experience with Azure OpenAI, Azure AI Foundry, Azure AI Search, Document Intelligence, and one or more listed agent frameworks.
- Experience with production AI agents, enterprise integrations, RAG, vector search, embeddings, and document processing.
- Experience with Azure application and data services, identity and secrets, AI evaluation, observability, security, Git, and CI/CD.
- Strong documentation, communication, and problem-solving skills.
Preferred qualifications and stack
- Preferred: Azure AI Engineer Associate certification (AI-102), Microsoft Teams and Graph integrations, third-party AI solution reviews, or enterprise AI governance and responsible AI experience.
- Preferred: reusable agent frameworks and advanced multi-agent orchestration or evaluation methodologies.
- Technology includes Azure AI Foundry, Azure OpenAI, Microsoft Agent Framework, Semantic Kernel, LangChain, LangGraph, MCP, Python, Azure Functions, Logic Apps, Cosmos DB, Microsoft Graph, Azure DevOps, Git, and CI/CD.
Compensation
- Pay is from AED 7,000 per month.
About the company
Efforts Solutions IT is an Abu Dhabi-based technology company established in 2009, delivering enterprise AI, intelligent automation, data engineering, digital transformation, and IT outsourcing services.
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