About Playtech
Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B and B2C businesses. Both divisions leverage Playtech’s proprietary technology to deliver innovative products and services to ensure a safe, engaging and entertaining gaming experience.
Playtech is the gaming industry's leading technology company delivering business intelligence-driven gaming software, services, content, and platform technology across the industry. Read more about who we are and what we do here: www.playtechpeople.com
Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Recognizing differences and ensuring our processes are transparent is the core of Playtech's overall commitment to responsible business practices.
Ready to level up your career?
Playtech Managed Services is looking for an AI Engineer with strong system‑design thinking, exceptional collaboration skills, and a high sense of ownership
Your influential mission. You will...
- Build AI‑powered applications using modern LLMs, RAG, and AI agents to deliver intelligent, high‑impact enterprise capabilities.
- Develop scalable backend services using Python, server‑side JavaScript, and .NET, ensuring clean, maintainable architecture.
- Create modern web applications using React and contribute across the full stack.
- Design and implement APIs, microservices, and system integrations for robust distributed systems.
- Develop and optimize SQL, NoSQL, and vector database solutions to support AI workloads.
- Build data pipelines, ETL/ELT flows, and AI knowledge repositories for structured and unstructured data.
- Deploy and operate solutions in cloud environments (Azure preferred), ensuring reliability and scalability.
- Apply strong security, performance, and observability practices across all systems.
Components for success. You...
- Bring 3+ years of software engineering experience building production‑grade systems.
- Work confidently with backend frameworks using Python, FastAPI, Flask, Node.js, and .NET.
- Apply practical AI/ML knowledge including LLMs, Generative AI, RAG architectures, and AI agents.
- Demonstrate strong API expertise in REST, microservices, and modern integration patterns.
- Utilize databases including SQL Server, PostgreSQL, MySQL, MongoDB, Cosmos DB, Redis, and vector stores such as Azure AI Search, Pinecone, Weaviate, or Milvus.
- Apply prompt engineering, semantic search, and AI evaluation strategies to improve reliability.
- Understand data modeling, query optimization, and pipeline development for JSON, CSV, and unstructured data.
- Work with modern cloud and DevOps tools including Azure, Docker, Kubernetes, and monitoring systems.
- Communicate clearly through strong documentation and cross‑team collaboration.
- Bridge AI and full‑stack engineering to deliver robust, scalable enterprise solutions.
You'll get extra points for...
- Experience with agentic AI platforms and advanced workflow orchestration.
- MLOps and AI governance experience in enterprise or regulated environments.
- Architecture, system‑design thinking, and technical leadership.
- Building internal tools, designing data pipelines, or contributing to platform‑level AI capabilities.
T****hrive in a culture that values...
- Contribution and achievements by offering performance bonuses and ample opportunities for internal growth.
- Employees' health and well-being through comprehensive health and dental insurance plans, life insurance, MultiSport card, employee assistance program and food, travel, and wellness allowances.
- Work-life balance by providing 25 days of paid annual leave, allowing you to relax and recharge.
- Continuous growth with company-sponsored seminars, training programs, social activities, and events, guiding your professional journey and helping you achieve your career goals.
- Celebrating life events with additional bonuses such as newlywed, and baby bonuses.
PLAYTECH MANAGED SERVICES
Established in 2007 in Sofia, Bulgaria, Playtech Management Services, a company of Playtech Group has grown into a thriving hub of 500 dedicated professionals, fostering a culture of collaboration, respect, and support. Specializing in customer support and risk management services for leading gaming platforms worldwide, our teams boast industry-leading response times and expertise. At Playtech Managed Services, we prioritize the personal and professional development of our team members, offering opportunities for both horizontal and vertical growth. Our dedicated employees invest their time and expertise in our success, and in return, we invest our passion in them. We provide a fun, creative, rewarding, and inspiring environment where individuals have the freedom to express themselves.
Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to join us and be themselves at work.
