Middle Python Software Engineer (AI/ML Backend)

About us

We are a product R&D company that creates solutions for the dynamic iGaming ecosystem. Our mission is to build cutting-edge platforms that reinvent the iGaming industry.

About the team

We are a focused engineering team of 5 to 9 people at a multi-product tech SaaS company. We work across personalization, recommendation, fraud detection, and some GenAI, through real-

time, near-real-time, and batch pipelines. The team is a blend of Python backend engineers, ML engineers, QA (manual and automation), a data engineer, and data scientists. Our shared mandate is to take experimentation from our data scientists and turn it into robust, production-

grade systems, either as standalone services or integrated into wider platforms.

The role

You will build and operate production backend systems alongside senior engineers and a hands-

on engineering manager, owning your work end to end and growing into the harder problems.

The systems you work on are either part of a larger SaaS backend or run as standalone services:

batch and event-driven pipelines, stream consumers, feature stores, REST APIs, scheduled jobs and background workers.

Responsibilities

• Design and build production Python services: APIs, stream consumers, pipelines, feature stores, scheduled jobs, background workers
• Write and tune the SQL and schemas these services depend on
• Uphold engineering standards: code quality, testing, observability, deployment discipline
• Productionize data scientists' experimentation into reliable services
• Diagnose and fix problems in production
• Contribute to design discussions and the implementation approach for the systems you work on
• Review code and help raise the bar for what the team ships

• Take part in the team's on-call rotation for the systems you build and operate

Requirements

• 3 years of backend engineering experience
• Strong Python: async, data processing, and working with Redis, Kafka and database clients
• Deep database skills — non-trivial SQL, query plans, index design, transactions and isolation levels, and concurrency
• Experience across relational and non-relational stores, and when to choose which
• Good working knowledge of Docker and CI/CD, enough to partner well with DevOps
• Experience owning a service in production

Nice to have

• Graph databases (Neo4j or similar)
• PostgreSQL internals: MVCC, autovacuum and bloat, partitioning, connection pooling
• PySpark, Databricks
• Kubernetes
• Experience building LLM-powered systems, including the vector stores behind them
• Fraud detection, recsys, or personalization systems experience
• Prometheus and Grafana
• SaaS or high-scale product domain experience

Why join us

• Work on high-scale, high-throughput backend systems
• Broad range of technologies, stacks, and problems
• Take experimentation from data scientists and turn it into production systems
• A strong engineering culture that values technical depth and ownership
• A technically strong environment with a modern stack and a mature Agile culture
• High autonomy, decision-making authority, and close cooperation with leadership
• Room to contribute your own ideas for improvement and see them implemented
• Flexibility through hybrid and remote working
• A distributed team across Dubai and Europe
• Discretionary annual bonus, based on individual, team, and company performance
• Comprehensive medical insurance
• Annual flight allowance
• Visa sponsorship
• Annual leave
• Learning and conference budget
• Company-paid AI coding assistant

Interview stages

• HR interview (30 minutes) — initial conversation about your experience, career goals, and cultural fit
• Technical interview (1 hour) — in-depth technical interview covering relevant skills
• Technical design interview (1.5 hours) — system and database design
• Final interview (30 minutes) — a discussion with the hiring manager, focusing on role-

specific competencies and alignment with company values

• Reference check & job offer