About the Role
Build production-grade AI applications that support high-impact investment decisions. You will help create and evolve an AI-enabled investment platform designed for a sovereign investor managing high-value assets across more than 50 countries. The platform supports the investment lifecycle—from origination and due diligence to portfolio monitoring and valuation. We value engineers who are resilient, adaptable, proactive, and comfortable operating in fast-paced, high-pressure environments, delivering high-quality software against demanding timelines and evolving priorities.
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Your Key Responsibilities
- Design, build and deploy production-grade applications using Python, TypeScript/JavaScript, React/Next.js and FastAPI.
- Develop AI-powered features such as LLM applications, RAG pipelines, vector search, AI agents and document intelligence.
- Build high-performance APIs, microservices, data integrations and intuitive frontend experiences.
- Deploy and operate containerised applications on Microsoft Azure and Azure Kubernetes Service (AKS), using Infrastructure as Code and CI/CD.
- Prototype and validate AI features, then turn successful experiments into secure, scalable products.
- Apply engineering best practices across system design, testing, security, AI guardrails and production observability.
- Collaborate with product, investment, data and technology teams to turn business needs into practical solutions.
- Take end-to-end ownership, troubleshoot production issues and keep delivery moving as priorities evolve.
What You’ll Bring to the Role
Essential Requirements
- 8+ years of professional software engineering experience delivering production-grade applications.
- Strong hands-on Full Stack Expertise, particularly advanced Python and TypeScript/JavaScript, with experience in React/Next.js and backend development using FastAPI.
- Practical AI experience, building and deploying LLM-powered applications, RAG systems, vector search and AI agent workflows.
- Production experience with Microsoft Azure, Docker, Kubernetes—AKS required—and CI/CD.
- Advanced SQL, database design and API development skills, including experience working with structured and unstructured data.
- Familiarity with Snowflake, Oracle, Kafka, Event Hubs or large-scale data lakehouse architectures.
- A sound understanding of software architecture, scalability, security, testing and production observability.
- Proven end-to-end ownership and the ability to solve complex problems with minimal supervision.
- Resilience and adaptability, ability to perform effectively under pressure, manage shifting priorities, and maintain delivery momentum in demanding environments.
- Strong communication, collaboration, and problem-solving skills, with a pragmatic, results-oriented engineering mindset.
Desirable Requirements
- Experience in financial services, fintech, investment management, private equity or capital markets technology.
- Experience working in the UAE or wider GCC, with distributed international teams, or on enterprise AI platforms.
- Experience in high-growth startups, AI product companies, or fast-paced engineering teams.
- Exposure to advanced agentic AI, LLM evaluation, performance optimisation, and enterprise AI platforms.
Location
- Dubai or Abu Dhabi.
Hybrid with a requirement to work onsite in Abu Dhabi 3–4 days per week. Specific working arrangements and expectations can be discussed further during the recruitment process.
Benefits
- The chance to join a fast-growing organisation changing how software products are built.
- The opportunity to be part of a multicultural community of technology experts.
- Direct access to greenfield AI projects operating at institutional, global scale.
- The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
- A highly competitive compensation package.
- Medical insurance.
Diversity and Inclusion
We are committed to fostering an inclusive workplace and providing equal employment opportunities to all applicants regardless of race, religion, gender, sexual orientation, age, disability or any other protected characteristic under applicable law. If you require reasonable accommodations during the recruitment process, please let us know and we will work with you to support your participation.
Data Handling
By applying to this role, you acknowledge that your personal data will be processed in accordance with our Privacy Notice for recruitment purposes. We may use AI-assisted tools during certain stages of the recruitment process to support operational efficiency, but all hiring decisions are made by people, with human review and oversight.
