Azure AI Engineer

<h3>📋 Description</h3> • As an Azure AI Engineer with Generative AI specialization, you will design, develop, and deploy AI solutions. • Collaborate with data scientists, software engineers, and product managers to build AI applications addressing business challenges. • Design dynamic UIs for chatbots and assistants using Azure AI Services, Azure OpenAI, and other tools. • Experience building UIs using React.js and orchestrating prompts using Azure Foundry. • Proactively troubleshoot performance bottlenecks and implement corrective measures. • Work with data engineers to build and optimize data pipelines. • Collaborate cross-functionally to align AI solutions with business goals. • Stay current on emerging AI trends and recommend advancements that can enhance AI initiatives. <h3>🎯 Requirements</h3> • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience). • 4+ years of professional experience in AI/ML engineering, with production-grade model integration. • 2.5+ years of hands-on programming experience using Azure OpenAI or similar LLM APIs. • Expert-level proficiency in Python, Semantic Kernel or LangChain, Git-based workflows, and cloud-native design. • Experience building microservices and APIs on Azure (Functions, Containers, etc.). • Knowledge of LLM evaluation and prompt tuning techniques. • Knowledge of responsible AI usage and guidelines in design and development of AI solutions. • Experience deploying open-source language models in real-world workflows. • Proficiency in Python (preferred), Semantic Kernel or LangChain or PromptFlow for orchestration of LLM-based Agentic AI workflows. • Required hands-on experience with key Azure AI services (Azure Machine Learning, Azure OpenAI Service, Azure Cognitive Services, Azure Cosmos DB, Azure Databricks, Azure Data Factory). • Familiarity with Azure Copilot Studio, Azure AI Studio, Azure AI Foundry. • Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines (Git, Azure DevOps). • Strong understanding of machine learning algorithms, LLM model fine-tuning using prompts and RAG, LLMOps. • Excellent problem-solving and analytical abilities. • Strong communication and collaboration skills. • Ability to work in a fast-paced, agile environment, managing multiple priorities effectively. • Relevant Azure certifications (Azure AI Engineer Associate, Azure Solutions Architect, etc.) are preferred. • Demonstrated experience with large-scale model deployment (LLMs, image generation, multimodal models). • Proficiency in React is a plus in building dynamics UIs and dashboards. • Familiarity with GraphRAG architecture, Caching architecture, Reinforcement Learning architecture for LLM-based solutions. • Experience with Agile/Scrum methodologies. • Proficiency with data visualization and business intelligence tools (Power BI, Tableau). <h3>🏖️ Benefits</h3> • Argano is the first of its kind: a digital consultancy totally immersed in high-performance operations. • We steward enterprises through ever-evolving markets, empowering them with transformative strategies and technologies to exceed customer expectations, unlock commercial innovation, and drive optimal efficiency and growth. • Argano is an equal-opportunity employer.