Ai Engineer

🌐 Remote💼 Full-time🗓 2026-07-30

Core

Developing and implementing cutting-edge machine learning models, fine-tuning large language models, and building robust AI infrastructure for player personalization, content generation, and predictive analytics in the iGaming industry.

Role type

Senior IC AI/ML Engineer (LLMs, Vector DBs, MLOps)

Builds

Production ML models, recommendation systems, conversational AI agents, and scalable AI pipelines for iGaming platforms

Domain

iGaming, Machine Learning, Natural Language Processing, Vector Search

Deliverable

production ML models

Required skills

Python, Machine Learning algorithms, LLM fine-tuning (transformers, PEFT, LoRA, QLoRA), Vector databases (Pinecone, Weaviate, Chroma), LangChain, Cloud platforms (AWS, GCP, Azure), PyTorch, TensorFlow, Hugging Face, SQL/NoSQL, MLOps tools (Docker, Kubernetes, MLflow)

Preferred skills

Responsible AI practices, Multi-modal AI systems, Graph neural networks, A/B testing design

Technologies

Pinecone, Weaviate, TypeSense, Redis, PostgreSQL, MLflow, Weights & Biases, Grafana, DataDog, Terraform, GitHub Actions, LangGraph, OpenAI APIs, Anthropic Claude

Responsibilities

Design and deploy ML models for player behavior prediction and churn analysis; Fine-tune LLMs for content generation and review analysis; Build and maintain vector databases for semantic search; Develop conversational AI systems and RAG architectures; Implement real-time data processing pipelines for live analytics; Build personalization engines for content and bonuses

Seniority

Senior, hands-on IC

Rewrite

## About the Role We are seeking a talented AI Engineer to join our growing technology team and drive the next generation of AI-powered solutions in the iGaming industry. This role will focus on developing and implementing cutting-edge machine learning models, fine-tuning large language models, and building robust AI infrastructure to enhance player personalization, content generation, and predictive analytics across our platforms. ## Key Responsibilities ### Machine Learning & Model Development - Design, develop, and deploy machine learning models for player behavior prediction, churn analysis, and lifetime value optimization - Fine-tune large language models (LLMs) for content generation and review analysis - Implement recommendation systems for personalized casino and bonus suggestions ### AI Infrastructure & Vector Databases - Build and maintain vector databases for semantic search, content similarity, and recommendation engines - Implement and optimize embedding models for text, user behavior, and content vectorization - Design scalable AI pipelines using modern MLOps practices and tools - Manage model versioning, A/B testing, and performance monitoring systems ### LangChain & Conversational AI - Develop conversational AI systems using LangChain for customer support and player engagement - Build RAG (Retrieval-Augmented Generation) systems for intelligent content creation and casino information retrieval - Implement multi-agent systems for complex iGaming workflows and decision-making processes - Create chatbots and virtual assistants for enhanced user experience ### Data Engineering & Analytics - Work with large-scale datasets from multiple iGaming platforms - Implement real-time data processing pipelines for live player analytics - Develop ETL processes for model training and inference data preparation - Collaborate with data scientists to transform business requirements into technical solutions ### AI-Powered Features - Build personalization engines for content, bonuses, and game recommendations - Develop sentiment analysis systems for review and feedback processing ## Required Qualifications ### Technical Skills - Programming: Proficiency in Python, with experience in R or Scala as a plus - Machine Learning: Strong foundation in ML algorithms, deep learning, and statistical modeling - LLM Fine-tuning: Experience with transformer models, PEFT techniques (LoRA, QLoRA), and model optimization - Vector Databases: Hands-on experience with Pinecone, Weaviate, Chroma, or similar vector storage solutions - LangChain: Proficiency in building applications with LangChain, LangGraph, and related frameworks - Cloud Platforms: Experience with AWS, GCP, or Azure ML services - Frameworks: PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn - Databases: SQL, NoSQL, and experience with time-series databases - MLOps: Docker, Kubernetes, MLflow, Weights & Biases, or similar tools ### Experience - 3+ years of experience in AI/ML engineering or related roles - Experience with production ML systems and model deployment - Background in recommendation systems, NLP, or computer vision - Previous work with large-scale data processing and real-time systems ## Preferred Qualifications - Knowledge of responsible AI practices and bias detection - Experience with multi-modal AI systems (text, image, structured data) - Familiarity with graph neural networks and knowledge graphs - Understanding of A/B testing and experimental design ## What We Offer - Competitive Salary: Market-leading compensation package with performance bonuses - Growth Opportunities: Work at the forefront of AI in the rapidly evolving iGaming industry - Flexible Work: Remote work model - Learning & Development: Budget for conferences, courses, and AI/ML certifications - International Exposure: Collaborate with global iGaming partners and clients - Health & Wellness: Comprehensive health insurance and wellness programs - Team Culture: Join a results-oriented team that values professionalism and collaboration ## About Our Tech Stack - AI/ML: PyTorch, Hugging Face, LangChain, OpenAI APIs, Anthropic Claude - Vector DBs: Pinecone, Weaviate, TypeSense for semantic search and recommendations - Cloud: Multi-cloud strategy - Data: Redis, PostgreSQL - Monitoring: MLflow, Weights & Biases, Grafana, DataDog - Infrastructure: Docker, Kubernetes, Terraform, GitHub Actions

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