Build, deploy, and operate AI-driven solutions in production.
Collaborate openly within the team.
Communicate decisions, assumptions, and trade-offs clearly to the team.
Experiment, validate quickly, and iterate based on frequent stakeholder and team feedback.
Optimize for Analytics and Trading adoption, clarity, and trust.
Make sensible trade-offs to deliver usable value early.
Adapt as the team and project scale in communication, scope, and technical direction.

Demonstrated +5 years of experience in data engineering and AI/system development in a production environment.
Proven ability to ship iterative, user-focused solutions with attention to reliability and safety.
Strong communication skills and a collaborative mindset.
Strong SQL and experience working with large analytical datasets.
Familiarity with distributed data platforms (e.g., Spark, Trino, Databricks).
Understanding of data modelling, joins, aggregations, and performance trade-offs.
Experience operationalizing ML and LLM-based systems in production environments.
Familiarity with model lifecycle management (training, versioning, deployment, rollback).
Understanding of AI evaluation approaches (offline tests, benchmarks, qualitative review).

A highly competitive compensation package.
Medical insurance.
The chance to join an organization with triple digit growth that is changing the paradigm on how software products are built.
The opportunity to form part of an amazing, multicultural community of tech experts.

AI Engineer

Key skills