• Developing and applying models and algorithms. • Training, validating, and optimizing Machine Learning and Deep Learning models. • Integrating Generative AI and LLMs into various solutions. • Documentation, versioning, and maintenance of models. • Developing, maintaining, and optimizing high-quality, reliable, and robust data pipelines. • Extraction, cleaning, and validation of large datasets. • Data interpretation to uncover solutions and business opportunities. • Data analytics using Business Intelligence tools such as Apache Superset.

• Lead the design and implementation of Generative AI services and Agentic workflows that support multiple product features or teams. • Integrate LLMs into applications using modern frameworks, working with APIs or internal model endpoints. Implement telemetry, observability, fallbacks, and cost/latency controls. • Work across data environments to ingest, transform, and serve data for AI use cases, designing practical schemas and retrieval strategies that generalize across environments. • Design and run experiments to compare prompts, models, and configurations; build evaluation flows to measure relevance, safety, robustness, and business impact. • Collaborate with product, data science, design, and domain experts to clarify requirements, break down initiatives into technical plans, and deliver roadmap commitments. • Contribute to and lead code reviews, architecture discussions, documentation, and shared templates/libraries that improve velocity and consistency. • Monitor AI systems in production, participate in incident response, and drive systemic improvements to quality, safety, reliability, and performance. • Partner with security, legal, and compliance to ensure data privacy, responsible AI practices, and regulatory alignment.

• Build end-to-end RAG pipelines: smart chunking, hybrid retrieval, reranking, query rewriting. • Implement LangGraph-based agentic workflows. • Develop and optimize vector search systems. • Architect and deploy AI microservices. • Collaborate with architects and SMEs to translate use cases into AI systems.

Role Description Developing and maintaining AI systems and behaviors using Unreal Engine 5’s frameworks and custom code. - Implementing decision-making logic, pathfinding, perception, and dynamic reactions for interactive NPCs. - Collaborating with design and gameplay teams to build robust, flexible AI architectures supporting varied gameplay scenarios. - Enhancing and optimizing existing AI components for performance, scalability, and realism. - Working across different areas of Unreal’s AI toolset, including Behavior Trees, EQS (Environment Query System), AI Controllers, and Navigation systems. - Supporting multiple platforms and ensuring consistent AI performance across PC and console targets. - Taking part in architectural planning, prototyping new AI features, and iterating on gameplay behaviors from concept through final release. - Participating in every stage of the game development pipeline, with ownership of AI-related features throughout production. Qualifications - Strong C++ programming skills, proven through professional or commercial experience. - Proven experience working with Unreal Engine 4 or 5, particularly with: - AI Framework: Behavior Trees, Blackboards, Navigation Mesh, Pathfinding, and Perception systems. - Integration of AI logic with Gameplay Framework and game state logic. - Debugging and profiling AI systems using Unreal’s built-in tools. - Experience in working with Gameplay Ability System (GAS). - Solid understanding of math and algorithms relevant to AI (vector math, spatial reasoning, and pathfinding heuristics). - Familiarity with gameplay programming principles, event-driven logic, and data-driven authoring pipelines. - Experience using source control systems such as Perforce or Git. - Fluent spoken English and strong communication skills to work effectively in a multicultural team environment. Benefits - Medical Care package. - MyCafeteria system - including Multisport card and more. - Employee Assistance Program (EAP), offering confidential legal, financial, and personal counseling. - English or Polish language classes. - Sensibly flexible working hours. - Breakfasts, snacks and fruits available during the day, tea and coffee machines. - Additional benefits: care bonus to cover health, educational and safety needs, corporate parties and team buildings.