AI Engineer (Agentic Systems)

Praxis Tech; Greater London; On-site; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Competitive salary

Cutting-edge AI

ML infra exposure

Collaborative team

Stock options

Job summary

Bragg Gaming Group, headquartered in London, is expanding its AI & Innovation team to design autonomous agentic systems and robust ML infrastructure for real-world execution.

The role focuses on building multi-step orchestration, transitioning experiments into production, and delivering high-impact AI innovations within a gaming tech platform.

Qualifications

• Experience designing autonomous and agentic systems.
• Proficient in building retrieval-augmented generation (RAG) pipelines.
• Ability to scale notebooks and experiments into production-grade systems.

Responsibilities

• Design and deploy production-grade agentic systems.
• Build multi-step orchestration and RAG pipelines across platforms.
• Transition experimental notebooks into real-world execution and services.
• Focus on infrastructure and high-impact AI innovation.

Skills

Agentic systems

RAG pipelines

Production-grade software

ML infrastructure

Job description

The AI Engineer will design and deploy production-grade agentic systems, building multi-step orchestration and RAG pipelines that transition from experimental notebooks into real-world execution. This role focuses on creating autonomous systems that drive Bragg Gaming Group's evolution into an AI-first company, with emphasis on infrastructure and high-impact innovation.

About Bragg Gaming Group

Bragg Gaming Group is an iGaming operator headquartered in London with 417 employees, providing gaming infrastructure and platform solutions. The company is actively transforming into an AI-first organization, expanding its AI & Innovation team to build advanced autonomous systems and data-driven capabilities across its platform.

Estimated Benefits

• Competitive salary for London tech market
• Opportunity to work on cutting-edge AI and agentic systems
• Exposure to production-scale machine learning infrastructure
• Collaborative innovation-focused team environment
• Potential stock options or equity (common in gaming tech)