AIML Engineer

Our Client is seeking a highly skilled AI/ML Engineer with 4 to 7 years of experience to design, develop, and integrate AI-powered solutions into our SaaS products. The ideal candidate will have strong expertise in Python, Object-Oriented Programming concepts, Large Language Models (LLMs), and modern AI frameworks. This role involves working on end-to-end AI integrations, conversational AI systems, retrieval- augmented generation workflows, and scalable AI microservices. You will collaborate closely with product, engineering, and architecture teams to build intelligent features that improve user experience and business efficiency. Key Responsibilities  Design, develop, and implement AI/ML solutions within Cloudoffis SaaS products.  Build and maintain scalable AI services using Python and microservices architecture.  Develop conversational AI solutions using modern LLM frameworks and orchestraƟon tools such as LangChain.  Work on end-to-end LLM integrations including prompt engineering, retrieval workflows, and inference optimization.  Design and manage Vector Database integrations for semantic search and retrieval-based applications.  Collaborate with product and engineering teams to identify AI use cases and translate them into scalable technical solutions.  Optimize AI workflows for performance, scalability, and reliability in production environments.  Participate in architecture discussions and contribute to AI plaform design decisions.  Ensure proper documentation, testing, and deployment of AI features and services.  Stay updated with emerging trends and advancements in AI, machine learning, and Generative AI technologies. Qualifications • Bachelor’s degree in Computer Engineering, Computer Science, Artificial Intelligence, or a related field. • 4 to 6 years of experience in AI/ML engineering or related soŌware development roles. • Strong understanding of Object-Oriented Programming concepts and soŌware engineering principles. • Proficiency in Python for AI and backend development. • Hands-on experience with Vector Databases and semantic retrieval systems. • Experience working with LangChain and conversational AI frameworks. • Minimum 3 years of recent exposure to Large Language Models (LLMs), Gen-AI and end-to- end AI integration workflows. • Experience integrating AI capabilities into SaaS products. • Strong understanding of microservices architecture and distributed systems. • Excellent analytical, debugging, and problem-solving skills. Secondary Skills • Strong communication and articulation abilities. • Collaborative mindset with the ability to work effectively within cross-functional teams. • Solution-oriented and proactive approach to problem-solving. • Self-starter with the ability to take ownership and drive initiatives independently.