SENIOR PYTHON DEVELOPER — AI-FOCUS

As a fast-growing, award-winning company, Betby powers the industry with our premium sportsbook, featuring world-class risk management and seamless omni-channel support, reaching millions of players across countless markets.

With offices in Latvia, Malta, Spain, Greece and Montenegro, we offer a vibrant work culture, relocation opportunities, and full support for remote talent across the globe.

Join Betby and unlock endless opportunities for growth, success, and making a real impact in the world of iGaming!

 We're looking for a Senior Software Engineer who treats AI tools as part of their core engineering workflow, not an afterthought. You'll work on production systems while actively driving adoption of AI-assisted development practices across the team — from agentic coding tools to custom integrations that make AI genuinely useful in our stack.

• Solid software engineering fundamentals — comfortable with backend development (Python/FastAPI or similar), APIs, and working with a real production codebase
• Not necessarily 5+ years of experience — what matters more is depth of hands-on work, not years on paper
• Real, hands-on experience integrating or building with AI tools: coding agents, LLM APIs, MCP servers/connectors, or similar
• A track record of finding and using AI to remove friction from your own workflow, not just talking about it
• Comfortable proposing new tools/processes and pushing them through to actual adoption, not just experimenting quietly
• Good judgment about where AI is and isn't the right tool — we want proactive experimentation, not blind automation

• Experience writing custom MCP servers/connectors
• Experience setting up guardrails/conventions for AI-assisted development in a team setting
• Exposure to evaluating multiple AI platforms (e.g. Claude, Amazon Q, Cursor) for the same use case
• Familiarity with function calling / tool use patterns in LLM APIs
• Basic understanding of RAG approaches — when it's worth connecting external data sources to a model, and when it isn't

• Experience writing custom MCP servers/connectors
• Experience setting up guardrails/conventions for AI-assisted development in a team setting
• Exposure to evaluating multiple AI platforms (e.g. Claude, Amazon Q, Cursor) for the same use case
• Familiarity with function calling / tool use patterns in LLM APIs
• Basic understanding of RAG approaches — when it's worth connecting external data sources to a model, and when it isn't

• Comprehensive health insurance with coverage for your well-being
• Paid sick leave up to 10 days without medical certificate
• 20 days of paid vacation plus additional leave for important life events
• Learning and growth opportunities with support for professional development
• Language learning support for multilingual collaboration
• Modern hardware provided for your work
• International team environment across multiple countries
• Corporate events and team activities
• Welfare support program for critical situations
• Gifts and support for major life milestones

#priority high

#level senior

#relocation yes

#category tech