Job Description: Engineer - Full Stack
Location: Abu Dhabi
About Presight
Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region’s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.
The Opportunity:
Presight is seeking a strongly customer-focused, self-driven and results-oriented Full Stack Engineer.
Responsibilities
Key Responsibilities:
As a Full Stack Engineer, you will work within the development team to build the annotation platform on both sides front-end and back-end. Collaborating with Product Managers, Architects and Software Engineers to research, design, implement and improve functionalities of the annotation platform as part of a Big Data analytic system.
Functional
- Own scoped features end to end: from requirements and technical design through implementation, testing, release, and production follow-up.
- Build responsive, accessible interfaces for annotation and data-review workflows.
- Develop backend services, RESTful APIs, data models, and asynchronous workflows.
- Collaborate with Product, Design, and Engineering to clarify requirements, address edge cases, and deliver complete user journeys.
- Use AI development tools to accelerate implementation, testing, debugging, and documentation while remaining accountable for quality.
- Write automated tests, participate in code reviews, and apply security, privacy, performance, and reliability practices.
- Troubleshoot issues across the stack and improve features based on production behavior and user feedback.
- Follow applicable company policies and engineering standards.
- Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans and related risk assessments.
Qualifications
Requirements:
- Bachelor’s degree in information technology, Computer Science, Engineering or related field.
- Strong computer science and basic algorithms knowledge.
- 3+ years of professional software development experience, including delivering features across frontend and backend.
- A full-stack ownership mindset, with the ability to move between application layers and follow work through to production.
- Strong JavaScript and TypeScript skills, alongside HTML, CSS, and web fundamentals.
- Experience with component-based frontend development, preferably React and Next.js, including state management, data fetching, and client/server rendering concepts.
- Strong backend development experience with Java and Spring Boot, alongside working proficiency in Python for AI agent orchestration, LLM integrations, and supporting backend services.
- Practical knowledge of OOP concepts, SOLID principles, and modular design.
- Understanding of modular monoliths and microservices, including service boundaries and architectural trade-offs.
- Working knowledge of relational databases, data modelling, RESTful APIs, authentication, and authorization.
- Familiarity with message brokers, such as RabbitMQ or Kafka, and asynchronous processing concepts, including retries and idempotency.
- Experience with automated testing, Git, code reviews, and debugging across the stack.
- An AI-driven development mindset, with practical experience using coding assistants or agents and independently reviewing and validating their outputs.
- Clear communication, collaborative problem-solving, and the ability to explain technical trade-offs, raise risks early, and work effectively with product, design, and engineering teams.
Ideally, you’ll also need
- Experience building data-intensive applications.
- Experience integrating AI or LLM capabilities into applications.
- Familiarity with UI component libraries and design systems, such as Ant Design.
- Experience with CI/CD pipelines, Docker, cloud platforms, and application monitoring.
Join us at Presight, where we offer a culture of innovation, outstanding career growth opportunities, and competitive rewards. If you're eager to conquer new frontiers in AI and thrive in a dynamic environment, we welcome you to our community.
What working at Presight offers:
Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
Career: Accelerate your career through high-impact projects and access to resources for continuous growth and learning opportunities.
Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.