Location : El Sheikh Zayed – Beverly Hills
Company : Grand Technology
Employment Type : Full-Time - Onsite
About the Role
Grand Technology is seeking a highly skilled and innovative Senior AI & Automation Engineer to lead the design, development, and deployment of Generative AI solutions, intelligent chatbots, and automation frameworks . This role is pivotal in driving our digital transformation initiatives, enhancing customer experiences, and streamlining operations through cutting-edge AI and automation technologies.
Key Responsibilities
AI & GenAI Development
- Design, build, and optimize Generative AI models (LLMs, NLP, text, and multimodal AI) for business use cases.
- Develop scalable AI pipelines for training, fine-tuning, and deploying models.
- Research and implement the latest advancements in transformers, RAG (Retrieval Augmented Generation), and conversational AI.
Chatbot & Conversational AI
Architect, develop, and maintain chatbots and virtual assistants using advanced NLP and AI frameworks.Integrate chatbots with enterprise systems (CRM, ERP, HRMS, etc.) for end-to-end process automation.Continuously improve conversational flows, intent recognition, and user engagement.Automation & Process Optimization
Lead automation initiatives across business processes using RPA, AI-driven decision systems, and workflow orchestration tools.Collaborate with business stakeholders to identify automation opportunities that deliver measurable ROI.Ensure high availability, security, and scalability of automation platforms.Collaboration & Leadership
Partner with cross-functional teams (Product, Data, Operations, IT) to align AI and automation initiatives with business goals.Mentor junior engineers and guide them on best practices in AI / ML engineering and automation.Prepare technical documentation, PoCs, and presentations for both technical and business stakeholders.Requirements
Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.5+ years of experience in AI / ML engineering and automation solutions.Proven hands-on experience with :GenAI / LLMs (OpenAI, Anthropic, Hugging Face, LangChain, RAG pipelines).NLP frameworks (spaCy, NLTK, Transformers).Chatbot platforms (Dialogflow, Rasa, Microsoft Bot Framework, custom-built AI assistants).Automation tools (UiPath, Automation Anywhere, Power Automate, or custom Python automation).Strong programming skills in Python .Experience with cloud platforms ( AWS, Azure, GCP ) and MLOps practices (CI / CD, model monitoring, Docker containerization).Solid understanding of data engineering and integration with APIs and databases.Strong problem-solving, analytical, and communication skills.