AI researcher & engineer
- 3+ years of experience in AI/ML research and implementation;
- Expertise in working with large language models (LLMs) and their applications;
- Strong proficiency in Python for data science and ML research;
- Solid grasp of data structures, algorithms, and software engineering principles;
- Familiarity with AWS and its AI/ML services;
- Knowledge of containerization technologies (e.g., Docker) for research environments;
- Experience with MLOps principles and tools;
- Excellent analytical and problem-solving skills;
- Proven experience designing and building production-ready agentic workflows;
- Hands-on experience with LLM orchestration frameworks.
- Experience applying AI/ML research to real-world problems, particularly in gambling or gaming industries;
- Familiarity with probabilistic graphical models, causal inference, or Bayesian methods;
- Knowledge of ethical AI and fairness in machine learning;
- Experience with quantum machine learning or neuromorphic computing;
- Understanding of MLOps principles for transitioning research to production;
- Experience developing unique or custom agentic patterns;
- Contributions to or active involvement in open-source communities focused on agentic workflows and LLM orchestration.
- Scientific thinking;
- Ability to convey complex technical concepts to both technical and non-technical audiences;
- Strong analytical and critical thinking skills;
- Creativity in formulating novel research questions and approaches;
- Collaborative mindset for interdisciplinary research projects;
- Self-motivated with the ability to work independently on long-term research goals;
- Adaptability to rapidly evolving AI landscape.
- Conduct cutting-edge research in AI and ML, focusing on areas such as LLMs, reinforcement learning, and their applications in gambling and gaming;
- Design and implement experimental ML models for affiliate marketing, chat bots, tabular data analysis, traffic optimization, and recommender engines;
- Explore and propose new AI/ML techniques that could benefit the company's products and services;
- Develop PoC models and articulate their potential impact on business metrics;
- Collaborate with data engineers and software developers to prototype and test new AI solutions;
- Stay current with the latest AI research and assess its applicability to our business needs;
- Contribute to the company's AI research publications;
- Share knowledge and foster a culture of innovation within the AI team;
- Work closely with product teams to understand business challenges that could benefit from AI solutions;
- Ensure all research adheres to ethical AI principles and gambling regulations;
- Build, deploy, and evaluate production-ready agentic workflows leveraging advanced agent patterns (reflection, tool usage, planning);
- Identify, test, and optimize agentic workflows to enhance performance, autonomy, and cost-efficiency;
- Orchestrate and manage workflows using LLM orchestration frameworks such as LlamaIndex Workflow, LangGraph, CrewAI, or similar tools.
- Programming Languages: Python (required), C++ and Go (preferred);
- ML Frameworks: TensorFlow or PyTorch, Scikit-learn;
- LLM Frameworks: Hugging Face Transformers, LlamaIndex or LangChain;
- Cloud Platform: AWS (primary);
- AWS AI Services: SageMaker, Comprehend, Lex, Personalize;
- Containerization: Docker, Kubernetes;
- Big Data: Familiarity with Hadoop, Spark concepts (preferred).
☘️An exciting and challenging job in a fast-growing holding, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more;
🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed;
📍Beautiful offices in Warsaw, Limassol, Kyiv, Almaty, Yerevan — work remotely or on-site with comfort and enjoy the opportunity to build a network of connections with professionals day by day;
🧑🏻💻Modern corporate equipment based on macOS or Windows and additional equipment are provided;
🏖Paid vacations, sick leave, personal events days, days off;
👨🏻⚕️Corporate healthcare program for your well-being;
💵Referral program — enjoy cooperation with your colleagues and get the bonus;
📚Educational support by our L&D team: internal and external trainings and conferences, courses on Udemy;
🗣Free internal English courses;
🤸♀Sport benefit;
🦄Multiple internal activities: online platform with newsletters, quests, gamification, and presents for collecting bonuses, PIN-UP talks club for movie and book lovers, board games cozy evenings, special office days dedicated to holidays, etc;
🎳Company events, team buildings.
