Senior AI Engineer

Enteractive is a leader in player engagement and retention for the iGaming industry. We combine human interaction with technology to deliver unique customer experiences at scale. As we expand our AI capabilities, we are investing in secure, high-performance, on-premise AI systems to power next-generation engagement, automation, and intelligence across our platform. We’re looking for a Senior AI Engineer to lead the design and deployment of production-grade AI systems, with a focus on self-hosted models. You’ll play a key role in shaping how AI is used across Enteractive - from LLM-powered tooling for agents, to automation, personalization, and internal intelligence systems, while ensuring data privacy, performance, and reliability. This is a hands-on, high-impact role for someone who can bridge research and real-world systems at scale. Key Responsibilities include designing, building, and maintaining AI/LLM infrastructure, developing and deploying LLM-based solutions, optimizing models for latency & throughput, building scalable data pipelines, implementing model serving and orchestration, ensuring security and compliance, and collaborating with product and operations teams to embed AI into player engagement workflows.

2+ years of experience in AI / ML engineering, solid understanding of LLMs, embeddings, and prompt engineering, experience deploying models in on-prem or hybrid environments, strong Python skills and experience building production APIs/services, experience with model optimization techniques (quantization, batching, GPU utilization), familiarity with MLOps practices (CI/CD, monitoring, versioning), strong problem-solving skills and ability to operate autonomously.