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For Companies At a Glance
- Tasks: Lead a multidisciplinary team in developing cutting-edge AI solutions and software.
- Company: AI71 is an innovative research team focused on Generative AI for knowledge workers.
- Benefits: Enjoy a collaborative work culture, mentorship opportunities, and the chance to shape the future of AI.
- Why this job: Join a forward-thinking team making a real impact in the AI industry while fostering personal growth.
- Qualifications: 7+ years in software engineering with leadership experience; strong technical expertise across the full stack.
- Other info: We value diversity and are committed to creating an inclusive workplace.
The predicted salary is between 43200 - 72000 £ per year.
Location: Abu Dhabi, UAE
About Us
AI71 is an innovative applied research team pushing the boundaries of Generative AI to create impactful and responsible solutions for knowledge workers. We work closely with industry leaders and researchers from the Technology Innovation Institute (TII) to develop groundbreaking AI products that are shaping the future of work. Our mission is to build powerful AI agents that help businesses thrive.
About the Role
We are looking for an experienced Engineering Manager to lead a multidisciplinary team responsible for the full engineering pipeline—spanning front-end, back-end, and AI development. In this role, you will provide leadership across the technical stack, ensuring smooth collaboration between teams and removing roadblocks that may arise in the development process. You’ll oversee the delivery of high-quality software and AI solutions while ensuring best practices are followed throughout the engineering lifecycle.
As an Engineering Manager, you will guide technical execution, mentor engineers, and work closely with cross-functional teams to ensure we meet our ambitious goals. You will review code, establish development standards, and facilitate a culture of continuous improvement and excellence.
Key Responsibilities
- Technical Leadership: Oversee the entire engineering pipeline (front-end, back-end, AI), ensuring effective collaboration and high-quality delivery across all stages of development.
- Remove Technical Blockers: Act as a point of escalation for the development team, quickly identifying and resolving technical issues or bottlenecks that could impede progress.
- Code Quality & Best Practices: Conduct code reviews to ensure adherence to best practices, high-quality code standards, and maintainable solutions. Foster a culture of continuous learning and improvement.
- Mentorship & Team Development: Lead, mentor, and grow a team of engineers by providing technical guidance, feedback, and support for personal and professional development.
- Collaboration with Cross-functional Teams: Work closely with product, design, and AI teams to ensure alignment between technical delivery and business goals. Act as a technical liaison between teams to ensure clear communication and collaboration.
- Architectural Oversight: Ensure that the technical architecture of systems across front-end, back-end, and AI layers is scalable, maintainable, and well-integrated.
- Continuous Improvement: Promote best practices in software engineering and AI development, driving initiatives around code quality, testing, and overall process improvements to optimize development workflows.
- Performance Management: Track and report on team performance, progress, and project timelines, ensuring timely delivery while maintaining high standards of technical excellence.
About You
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- 7+ years of experience in software engineering, with at least 2 years in a leadership or managerial role.
- Solid experience across the full engineering stack (front-end, back-end, and AI), with hands-on technical expertise in both.
- Proven experience in code reviews, ensuring adherence to best practices, and helping teams maintain high-quality standards.
- Strong understanding of software engineering principles, design patterns, and architectural best practices.
- Demonstrated experience in removing technical roadblocks and helping teams overcome complex challenges in a fast-paced environment.
- Experience with Agile or Scrum methodologies and leading engineering teams in these frameworks.
Preferred Qualifications
- Master’s degree in Computer Science, AI, Engineering, or a related field.
- Extensive experience with Generative AI technologies, including large language models (LLMs) and natural language processing (NLP).
- Familiarity with cloud platforms (AWS, Azure, GCP) and distributed systems.
- Experience in both SaaS and enterprise environments.
- Strong leadership skills with a track record of developing high-performing engineering teams.
- Knowledge of ethical AI practices and an interest in ensuring AI solutions are built responsibly.
AI71 is an equal opportunity employer. We embrace diversity and are committed to creating an inclusive environment for all employees.
Engineering Manager (UAE Based) employer: AI71
Contact Detail:
AI71 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager (UAE Based)
✨Tip Number 1
Familiarise yourself with Generative AI technologies, especially large language models and natural language processing. This knowledge will not only help you understand the technical requirements of the role but also demonstrate your commitment to the field during discussions.
✨Tip Number 2
Network with professionals in the AI and engineering sectors, particularly those who have experience in leadership roles. Engaging with industry leaders can provide insights into the challenges faced in such positions and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your experience in removing technical blockers and leading teams through complex challenges. Be ready with specific examples that showcase your problem-solving skills and ability to foster collaboration among cross-functional teams.
✨Tip Number 4
Stay updated on best practices in software engineering and AI development. Being knowledgeable about current trends and methodologies will position you as a forward-thinking candidate who can contribute to continuous improvement within the team.
We think you need these skills to ace Engineering Manager (UAE Based)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software engineering and leadership roles. Emphasise your technical expertise across the full engineering stack, particularly in AI development, as this is crucial for the Engineering Manager position.
Craft a Compelling Cover Letter: In your cover letter, express your passion for Generative AI and how your background aligns with AI71's mission. Mention specific projects or experiences that demonstrate your ability to lead multidisciplinary teams and overcome technical challenges.
Showcase Leadership Experience: Provide examples of your leadership style and how you've successfully mentored engineers in previous roles. Highlight any experience you have with Agile methodologies and how you've facilitated collaboration between cross-functional teams.
Highlight Continuous Improvement Initiatives: Discuss any initiatives you've led that focused on improving code quality, testing, or overall development processes. This will show your commitment to best practices and continuous learning, which are key aspects of the role.
How to prepare for a job interview at AI71
✨Showcase Your Technical Leadership
As an Engineering Manager, it's crucial to demonstrate your ability to lead a multidisciplinary team. Be prepared to discuss your past experiences in managing teams across the full engineering stack and how you facilitated collaboration between different functions.
✨Prepare for Technical Questions
Expect to face technical questions that assess your understanding of software engineering principles, design patterns, and architectural best practices. Brush up on your knowledge of both front-end and back-end technologies, as well as Generative AI concepts.
✨Discuss Problem-Solving Skills
Be ready to share specific examples of how you've removed technical blockers in previous roles. Highlight your approach to identifying issues and the strategies you employed to help your team overcome challenges in a fast-paced environment.
✨Emphasise Mentorship and Team Development
Since mentoring is a key responsibility, prepare to talk about your experience in developing engineers. Share how you've provided guidance, feedback, and support for personal and professional growth within your teams.
