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.