Jobs → Engineering → AI Engineer

AI Engineer

Mohammed JameelRemoteMIDPosted 12d ago
AI EngineeringLLMsGenerative AIRAGAgentic AIPythonREST APIsAI/ML frameworksAzure AI ServicesAzure AI FoundryLangChainSemantic KernelFastAPISharePointMicrosoft 365TeamsConfluenceVector embeddingsPrompt engineeringModel evaluationLLMOpsMLOps
About the Role We are looking for an experienced AI Engineer to design, develop, and optimize enterprise AI solutions that drive innovation, automation, and business transformation. Key Responsibilities • Design, build, and maintain enterprise AI-powered applications, services, and workflows. • Develop LLM-based solutions using prompt engineering, context engineering, embeddings, and agentic AI frameworks. • Build AI assistants, automation tools, and agentic workflows to improve productivity. • Implement Retrieval-Augmented Generation (RAG), vector search, document processing, and enterprise data integrations. • Develop secure and scalable data pipelines and REST API integrations. • Support AI deployment, testing, monitoring, CI/CD, and production operations. • Apply Responsible AI principles, including security, privacy, transparency, explainability, and governance. • Collaborate with business, data, security, compliance, and technology teams to deliver measurable business value. Requirements • Strong hands-on experience with AI Engineering, LLMs, Generative AI, RAG, and Agentic AI. • Proficiency in Python, REST APIs, and AI/ML frameworks. • Experience with Azure AI Services and Azure AI Foundry. • Hands-on experience with frameworks such as LangChain, Semantic Kernel, and FastAPI. • Experience integrating enterprise platforms such as SharePoint, Microsoft 365, Teams, and Confluence. • Knowledge of vector embeddings, prompt engineering, model evaluation, and LLMOps. • Experience with AI application deployment, monitoring, and production support. • Strong communication, problem-solving, and stakeholder collaboration skills. • 6+ years of experience in AI engineering, software engineering, data engineering, machine learning, automation, or enterprise technology delivery. • 3+ years of hands-on experience building AI-enabled applications, integrating LLMs, implementing RAG, or delivering ML solutions. • Experience delivering enterprise-scale AI initiatives, preferably in regulated industries such as healthcare.

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