Senior Artificial Intelligence Engineer

Job description

**Job Description: Senior AI Engineer:** **Job Title:** Senior AI / Software Engineer **Experience Required:** 7+ years **Location:** Bengaluru **About the Role:** We are seeking an experienced Software Engineer with over 7 years of expertise in designing, developing, and deploying robust AI solutions. The ideal candidate will possess deep proficiency in advanced AI technologies, including Large Language Models (LLMs), Agentic AI, Generative AI (GenAI), and Computer Vision. In this role, you will lead the creation of intelligent systems, from scalable enterprise chatbots to complex data conversion pipelines, leveraging cloud ecosystems to drive technical innovation. **Key Responsibilities:** - **AI & GenAI Development:** Design and develop intelligent Agentic Bots and Enterprise Chatbots using Azure OpenAI, Semantic Kernel, and Microsoft Copilot Studio to automate responses and assist users with contextual queries. - **RAG System Implementation:** Develop, maintain, and optimize Retrieval-Augmented Generation (RAG) pipelines, overseeing the end-to-end lifecycle including data ingestion, vector embedding, document chunking via Python, and retriever-tuner loops. - **Cloud Architecture & Deployment:** Architect solutions on Microsoft Azure, successfully integrating services such as Azure Cognitive Search, Blob Storage, Functions, Key Vault, and Event Grid. - **Computer Vision & Data Processing:** Build end-to-end cloud-based pipelines for tasks such as 2D to 3D BIM conversion, utilizing computer vision, OCR, and domain-specific parsing to generate structured, machine-readable data. - **Full-Stack Application Development:** Build responsive front-end interfaces and robust backends using C#, Python, Angular, Node, and .NET Core to support AI initiatives and onboarding tools. - **Leadership & Mentoring:** Serve as a team mentor by providing tailored guidance, leading client discussions, preparing technical design documents, and conducting internal training. - **AI & GenAI Development:** Design and develop intelligent Agentic Bots and Enterprise Chatbots using Azure OpenAI, Semantic Kernel, and Microsoft Copilot Studio to automate responses and assist users with contextual queries. - **RAG System Implementation:** Develop, maintain, and optimize Retrieval-Augmented Generation (RAG) pipelines, overseeing the end-to-end lifecycle including data ingestion, vector embedding, document chunking via Python, and retriever-tuner loops. - **Cloud Architecture & Deployment:** Architect solutions on Microsoft Azure, successfully integrating services such as Azure Cognitive Search, Blob Storage, Functions, Key Vault, and Event Grid. - **Computer Vision & Data Processing:** Build end-to-end cloud-based pipelines for tasks such as 2D to 3D BIM conversion, utilizing computer vision, OCR, and domain-specific parsing to generate structured, machine-readable data. - **Full-Stack Application Development:** Build responsive front-end interfaces and robust backends using C#, Python, Angular, Node, and .NET Core to support AI initiatives and onboarding tools. - **Leadership & Mentoring:** Serve as a team mentor by providing tailored guidance, leading client discussions, preparing technical design documents, and conducting internal training. **Required Skills & Qualifications:** - **Experience:** 7+ years of professional experience in Software Engineering and AI deployment. - **Education:** Bachelor of Technology or an equivalent degree. - **Core AI Competencies:** Agentic AI, LLMs, NLP, Agentic RAG, Machine Learning (ML), and Deep Learning (DL). - **Programming Languages:** C#, Python, JavaScript, TypeScript, HTML, CSS, and SQL. - **Frameworks:** .NET, ASP.NET MVC, Angular, Node, and Microsoft Bot Framework (v4). - **Cloud & DevOps:** Extensive hands-on experience with Azure ML, Azure OpenAI, Azure AI Foundry, Docker, Git, and Azure DevOps. - **Tools & Libraries:** Microsoft Copilot Studio, Google Dialog flowCX, Semantic Kernel, Postman, Power Automate, Document Intelligent, and LUIS. - **Databases:** Cosmos DB, SQL Server, MySQL, Oracle, Dataverse, and Vector Databases.