Full-Stack AI Engineer
BRIMSEL · Dhaka (Gulshan) · full time
Salary: Negotiable
Deadline passed
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Deadline
17 Oct 2026
Overview
BRIMSEL is looking for a talented Full-Stack AI Engineer to join their dynamic team in Dhaka. The company operates in the cutting-edge AI and tech domain, providing innovative digital solutions and fostering an environment for technical excellence and career growth.
As a Full-Stack AI Engineer, you will be responsible for developing, integrating, and maintaining full-stack applications powered by artificial intelligence. You will collaborate closely with cross-functional teams to build robust software systems, implement machine learning models, and deliver high-performance digital products.
To apply for this position, interested candidates must send their updated CV via email to hello@brimsel.com. Please ensure your email subject line is strictly formatted as: Full-Stack AI Engineer – Your Full Name. Your application must include a portfolio showcasing your GitHub profiles, personal websites, or previous app projects. Working hours follow standard corporate schedules. For any application queries, please refer to the official application guidelines provided.
Requirements
Educational background in Computer Science, Software Engineering, or a related technical field.
Entry level to professional experience in software development and AI integration.
Proficiency in programming languages and tools including Python, JavaScript, SQL, Node.js, React, and Flutter.
Strong technical skills in building full-stack applications and integrating machine learning solutions.
Excellent soft skills including problem-solving, analytical thinking, teamwork, and effective communication.
Must provide a verifiable portfolio featuring GitHub, website, or mobile application projects.
Responsibilities
Design, develop, and maintain scalable full-stack applications incorporating modern AI technologies.
Write clean, efficient, and well-documented code using languages such as Python, JavaScript, Node.js, React, and Flutter.
Integrate backend artificial intelligence and machine learning models with responsive frontend interfaces.
Manage databases and optimize data pipelines utilizing SQL and other database management systems.
Collaborate with team members to troubleshoot software issues, debug code, and enhance application performance.
Participate in architectural discussions and contribute to innovative product development lifecycles.