AI Engineer

<h3>📋 Description</h3> • design, develop, and deploy intelligent automation and AI agent solutions across the enterprise. • bridges low-code platforms and pro-code frameworks. • enable next-generation, AI-powered business transformation. • create and manage AI-driven business applications to improve productivity and decision-making. • collaborate with stakeholders to identify use cases and gather requirements. • ensure solutions comply with enterprise governance, security, and data privacy standards. • contribute to internal AI communities of practice. <h3>🎯 Requirements</h3> • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field. • 2+ years of experience in AI solution development, including process automation, chatbots, or AI agents. • Proficient in Microsoft Power Platform, including Power Apps, Power Automate, and Copilot Studio (or Power Virtual Agents). • Hands-on experience with LLM technologies (e.g., OpenAI, Azure OpenAI Service, or similar). • Experience integrating REST APIs and external data sources in application development. • Strong skills in prompt engineering, NLP, and understanding of LLM capabilities and limitations. • Familiarity with agent orchestration frameworks (e.g., LangChain, Semantic Kernel, Haystack, or RAG pipelines). • Ability to work independently and collaborate with cross-functional teams. • Excellent problem-solving and communication skills. • Microsoft Certified: Power Platform Developer Associate or equivalent certification (preferred). • Experience with hyperscale AI services such as Azure Cognitive Services, AWS Bedrock, or Google Vertex AI (preferred). • Familiarity with open-source AI toolkits, including Hugging Face Transformers, LangChain, or FastAPI (preferred). • Knowledge of DevOps practices, CI/CD pipelines, and version control in both low-code and pro-code environments (preferred). • Experience delivering AI-powered solutions for enterprise workflows such as HR, finance, operations, or IT service management (preferred). • Exposure to RAG (Retrieval-Augmented Generation) or memory-enabled agent architectures (preferred). <h3>🏖️ Benefits</h3> • comprehensive benefits package includes medical and dental coverage • disability, retirement benefits • paid leave, and paid time off