G42
Engineer ā Artificial Intelligence
- Permanent
- Abu Dhabi, United Arab Emirates
- Experience 2 - 5 yrs
Job expiry date: 02/11/2025
Job overview
Date posted
18/09/2025
Location
Abu Dhabi, United Arab Emirates
Salary
AED 20,000 - 30,000 per month
Compensation
Comprehensive package
Experience
2 - 5 yrs
Seniority
Experienced
Qualification
Bachelors degree
Expiration date
02/11/2025
Job description
Presight is seeking a versatile AI Engineer to design, build, and optimize scalable data systems and software applications that power its AI-driven platforms. This role blends data engineering (pipelines, integration, transformation) with software engineering (applications, APIs, system integration), while heavily adopting the latest AI coding tools (such as Cursor, Claude Code, OpenAI Codex, and Google Gemini) to boost productivity, speed, and code quality. The engineer will contribute to architecture, compliance with governance standards, and play a key role in building production-ready AI-enabled systems.
Required skills
Key responsibilities
- Adopt and integrate AI coding assistants (Cursor, Claude Code, OpenAI Codex, Google Gemini, etc.) into daily workflows.
- Use AI tools for code generation, refactoring, testing, and documentation.
- Continuously evaluate emerging AI development tools to improve efficiency and code quality.
- Design, develop, and maintain ETL/ELT pipelines and workflows.
- Collect, clean, and transform structured/unstructured datasets.
- Ensure data governance, quality, and compliance.
- Design, implement, and test scalable, maintainable software systems.
- Develop APIs, microservices, and system integrations for AI platforms.
- Contribute to architecture decisions and code reviews.
- Comply with QHSE, Business Continuity, Information Security, Privacy, Risk, Compliance Management, and Governance of Organizations policies, procedures, plans, and related risk assessments.
Experience & skills
- Bachelorās or Masterās degree in Computer Science, Software/Data Engineering, or related field (advanced degree preferred).
- Proven experience in data engineering (pipelines, ETL, integration).
- Track record of building production-grade software systems.
- Familiarity with cloud-native ecosystems.
- Programming proficiency in Python and Node.js.
- Proficiency in SQL and database technologies (relational and NoSQL).
- Experience with data tools such as Apache Spark, Kafka, Airflow.
- Experience with software frameworks such as FastAPI or Node.js.
- Experience with Azure cloud platform for data and application deployments.
- Hands-on experience using AI coding assistants (Cursor, Claude Code, OpenAI Codex, Google Gemini).
- Strong debugging, problem-solving, and optimization skills.
- Knowledge of containerization and orchestration (Docker, Kubernetes).
- Familiarity with CI/CD and DevOps practices.
- Experience with real-time/streaming data processing.
- Understanding of data governance and compliance frameworks.
