Full-Stack AI Engineer

robotat is looking for a technically strong Full-Stack AI Engineer with proven banking or financial services experience to develop secure, scalable, and production-ready AI solutions. The ideal candidate combines full-stack development expertise with practical AI engineering skills and an understanding of the security, governance, and reliability requirements.

• Develop end-to-end AI applications, from backend services and APIs to user-facing interfaces.
• Build and integrate AI/ML pipelines using large language models (LLMs), retrieval-augmented generation (RAG), NLP, OCR, speech processing, and predictive modelling.
• Integrate applications with enterprise APIs, databases, and authorized document repositories.
• Evaluate AI performance, improve output reliability, and implement testing, monitoring, and continuous improvement practices.
• Implement appropriate security controls, access management, audit logging, explainability, and human-in-the-loop review.
• Deploy and maintain AI applications in on-premises or restricted environments, supporting data privacy and infrastructure requirements.
• Work with business and technical stakeholders to translate banking requirements into practical, production-ready solutions.

• Proven professional experience in banking or financial services, with a clear understanding of relevant business workflows and the handling of sensitive financial data.
• Strong programming skills in developing backend services and APIs.
• Practical full-stack development experience, including modern frontend technologies such as React and Type Script, or equivalent.
• Hands-on experience building and integrating AI/ML solutions, including LLM-based applications and RAG.
• Familiarity with data processing, model evaluation, automated testing, version control, and production deployment practices.
• Experience with Docker, CI/CD, and MLOps or equivalent deployment and operational workflows.
• Understanding of secure software development, data governance, and the importance of traceable and reliable AI outputs.
• Strong analytical, problem-solving, communication, and collaboration skills.

• Experience in one or more banking-focused areas, such as credit-risk modelling, AML/CFT, fraud detection, transaction monitoring, or banking quality assurance.
• Familiarity with core banking integrations, Reg Tech, model-risk management, or AI deployment in highly regulated environments.

If you're passionate about building intelligent applications, solving complex technical challenges, and turning AI innovations into real-world solutions, we want to hear from you.

Location:

Burj Jasim, Kuwait City