Job Title: Senior AI Engineer – Generative AI & RAG (Azure) Overview / Summary: We are seeking experienced AI Engineers with 5–7 years of expertise in designing, developing, and implementing advanced AI models and algorithms. The role focuses on Generative AI, Retrieval-Augmented Generation (RAG), context engineering, and Azure AI Search implementations. Key Responsibilities: Design, develop, and implement advanced AI models and algorithms Build and deploy cloud-native applications using Azure services such as Azure Functions, Azure ML, App Service, Storage, and Cosmos DB Implement intelligent search solutions using Azure AI Search, including vector and semantic search capabilities Design and implement RAG (Retrieval-Augmented Generation) architectures using Azure OpenAI Service and Azure AI Search Apply context engineering, prompt engineering, and optimization techniques for LLM applications Work with chunking strategies, embedding models, and vector database implementations Implement MCP (Model Context Protocol) for AI agents and tool integrations Optimize semantic caching, context window management, and retrieval strategies Use orchestration frameworks such as LangChain, LlamaIndex, or similar tools Develop and work with AI agent frameworks and multi-agent systems Apply machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn Perform LLM fine-tuning, evaluation, and deployment Collaborate with data scientists, product managers, and cross-functional teams Participate in code reviews and design discussions within agile environments Required Qualifications: Bachelor’s or Master’s degree in Data Science, AI/ML, Computer Science, or a related field 5–7 years of experience in AI/ML development Strong proficiency in Python Experience with Azure services including Azure Functions, Azure ML, App Service, Storage, and Cosmos DB Hands-on experience with Azure AI Search Proven experience with RAG architectures using Azure OpenAI Service and Azure AI Search Strong understanding of context engineering, prompt engineering, and LLM optimization techniques Experience with embedding models, vector databases, and retrieval strategies Familiarity with LangChain, LlamaIndex, or similar frameworks Knowledge of AI agent frameworks and multi-agent systems Expertise in TensorFlow, PyTorch, and Scikit-learn Experience with deep learning techniques and neural architectures Understanding of vector embeddings, similarity search, and hybrid search approaches Ability to collaborate effectively in cross-functional teams Experience working in agile environments with code and design reviews Continuous learning mindset and ability to stay updated with AI and cloud advancements Strong work ethic, positive attitude, and resilience under pressure What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected. #LI-NS1 #LI- Hybrid