AI Senior Full Stack Engineer

Company Description Dalia’S Recruitment partners with DamaRec Global, a business consulting firm that helps startups and growing companies scale efficiently across global markets. DamaRec Global supports founders with strategic growth initiatives, operational optimization, and building distributed teams aligned with business objectives. The organization focuses on creating high-performing, remote-friendly environments that enable technology teams to deliver measurable impact. Joining this partnership offers exposure to innovative products, global clients, and fast-paced scaling companies. Team members contribute to solutions that directly influence the growth and success of emerging businesses worldwide.
Role Description The AI Senior Full Stack Engineer is a full-time, remote role responsible for designing, developing, and maintaining AI-powered web applications across the entire stack. Day-to-day tasks include architecting scalable backend services, implementing secure APIs, and building responsive front-end interfaces that integrate with machine learning models. The role involves collaborating with product managers, designers, and data scientists to translate business requirements into technical solutions and to refine features through iterative development. The engineer will oversee code reviews, optimize application performance, ensure robust testing and monitoring, and contribute to technical documentation and best practices. This role also requires staying current with AI frameworks, cloud technologies, and modern development tools to continually improve the platform.
Qualifications
Strong proficiency in modern front-end frameworks (e.g., React, Vue, or Angular) and solid experience with HTML, CSS, and JavaScript/TypeScript.
Extensive experience with backend development using languages such as Node.js, Python, or Java, and knowledge of building RESTful or GraphQL APIs.
Hands-on experience with AI/ML integration, including working with ML frameworks (e.g., TensorFlow, PyTorch) and deploying models into production environments.
Knowledge of relational and NoSQL databases, data modeling, and performance optimization for scalable applications.
Experience with cloud platforms (e.g., AWS, Azure, or GCP), containerization (Docker), and CI/CD pipelines for automated deployment.
Strong understanding of software engineering best practices, including testing (unit, integration), code review, and version control (Git).
Ability to work effectively in remote, distributed teams, with excellent communication, problem-solving, and collaboration skills.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent practical experience; prior experience in startup or high-growth environments is beneficial.

Work arrangement
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