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Qureos

Senior AI & Automation Engineer - Grand Technology

Qureos, Cairo, Illinois, United States, 62914

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Overview 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.

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.

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