סקירה כללית
^^משרה זו נלקחה מ Career^^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. The Role 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 Design, build, and maintain AI/LLM infrastructure (self
• hosted models, GPUs, inference pipelines) Develop and deploy LLM
• based solutions (RAG systems,internal tools for agents and CRM teams) Optimize models for latency & throughput in controlled environments Build scalable data pipelines for training, fine
• tuning, and evaluation Implement model serving and orchestration (e.g., APIs, batching, streaming inference) Ensure security, compliance, and data privacy across all AI systems Collaborate with product and operations teams to embed AI into player engagement workflows Required Skills / Experience 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 What we offer Hybrid working arrangement Free breakfast and lunch at the office every weekday Hot and cold beverages available throughout the day Comprehensive health insurance (in‑patient and out‑patient) Your own parking space near the office Mental‑health allowance High‑end equipment to support your work Regular company events Discounts on gyms, spas, massages, real estate services and more A dynamic, multicultural open‑plan workspace Ongoing training and development opportunities Beer Fridays with a selection of drinks and snacks A dedicated chill area equipped with a PlayStation, table soccer, and a ping‑pong table
דרישות המשרה
Design, build, and maintain AI/LLM infrastructure (self
• hosted models, GPUs, inference pipelines) Develop and deploy LLM
• based solutions (RAG systems,internal tools for agents and CRM teams) Optimize models for latency & throughput in controlled environments Build scalable data pipelines for training, fine
• tuning, and evaluation Implement model serving and orchestration (e.g., APIs, batching
