AI Engineer

Proven hands-on experience with LLMs (Azure OpenAI, HuggingFace, RAG pipelines, etc.). Strong experience with Azure Cloud - building and deploying App Services and AI Apps. Experience working with Azure AI Foundry and integrating AI models. Proficiency in Python for AI/ML development and automation. Experience in UI/web app development (HTML, JavaScript/TypeScript, React/Angular). Experience integrating LLMs into business process workflows and chat-based UI (Teams, Power Apps, etc.). Strong knowledge of databases - both RDBMS (SQL, PostgreSQL, MySQL) and NoSQL (CosmosDB, MongoDB). Strategic Thinking - ability to translate business problems into technical AI solutions. Collaboration & Influence - skilled at working with stakeholders across business and technology teams. Communication Excellence - can clearly explain complex AI/ML concepts to non-technical audiences. Leadership & Mentorship - capable of guiding other engineers, fostering best practices, and raising overall team capability. Adaptability - thrives in fast-paced, ambiguous environments with shifting priorities. Problem-Solving Mindset - approaches challenges with creativity, pragmatism, and a solution-oriented attitude. Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field. Software engineering experience, with work background focused on AI/ML. Solid understanding of software engineering practices, CI/CD pipelines, and DevOps in Azure. Azure certification (AI Engineer Associate, Solutions Architect, or Developer). Experience with LLM orchestration frameworks (LangChain, CrewAI, n8n, etc.). Familiarity with vector databases (e.g., Pinecone, Qdrant, Azure Cognitive Search). Knowledge of RPA tools (Power Automate, UI Path) and integration with enterprise systems. Exposure to building chat-based AI applications integrated with Microsoft Teams, Power Apps, or web portals. Prior experience in Salesforce & Snowflake integration is a strong plus. Design, develop, and deploy AI applications leveraging LLMs and Azure AI services (Azure OpenAI, Cognitive Services, Azure Machine Learning, Azure AI Foundry). Build and deploy scalable App Services and AI Apps on the Azure Cloud. 100% hand-on development of Python-based solutions and UI web applications for AI functions. Work with structured and unstructured data, leveraging both RDBMS and NoSQL databases including Snowflake. Rapidly build, test, and iterate on proof-of-concepts (PoCs) for real-world business challenges. Mentor other IT staff and provide technical leadership across the IT organization. Collaborate closely with business stakeholders and cross-functional teams to productionize AI applications. Stay current with emerging LLM frameworks (LangChain, CrewAI, n8n, etc.) and integrate them into enterprise workflows.