AI Engineer

• 2+ years of software engineering experience, with meaningful hands-on experience building AI or machine-learning-powered applications.
• Strong programming skills in both Python and Node.js, with experience using them to build production-grade AI applications and backend services.
• Hands-on experience with AWS SageMaker for developing, training, deploying, and monitoring machine learning or AI workloads.
• Proficiency with Jupyter Notebooks for data exploration, experimentation, model development, and prototyping.
• Hands-on experience with Weights & Biases (W&B) for experiment tracking, model evaluation, versioning, and performance monitoring.
• Hands-on experience working with large language models and their APIs.
• Practical understanding of prompt engineering, embeddings, vector search and RAG.
• Hands-on experience with prompt version control and management of a complete lifecycle of individual business use cases end to end.
• Experience with databases such as PostgreSQL, MongoDB and at least one vector database or vector-search solution like OpenSearch.
• Experience evaluating AI applications beyond manual testing or subjective output reviews.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Good understanding of software engineering principles, including testing, version control, observability, scalability, and security.
• Strong product judgement and the ability to translate loosely defined business problems into practical AI solutions.
• Ability to move quickly between experimentation and production-quality implementation.

• Experience with frameworks such as LangChain, PromptFoo, LangFuse, or similar AI orchestration tools.
• Experience with model evaluation, guardrails, observability, and monitoring platforms.
• Experience with Snowflake or a similar data warehouse/lake.
• Experience fine-tuning, adapting, or serving open-source models.
• Experience working with document intelligence, OCR, classification, recommendation systems, or conversational AI.
• Experience with harnesses and agent loops (experience with self healing harness setups is a bonus)
• Experience building AI products involving financial, accounting, or other sensitive data.
• Previous experience in a fintech, SaaS, or high-growth startup environment.

What's in it for you

• Contribute to building the Middle East’s most beloved fintech brand from the ground up
• Benefit from a role with significant ownership and accountability
• Thrive in a flexible hybrid culture with ample work-life balance
• Participate in exciting offsite events
• Competitive salary and equity
• Enjoy additional perks like travel allowances, gym memberships, and more