• 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.

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies , including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now. We are building an AI tutoring system designed to emulate and eventually surpass the best human tutors. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. This role can be done remotely from anyone of the following; United States, United Kingdom, Belgium, Portugal OR UAE About you At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply! Responsibilities Build and evolve the core AI tutoring system , including prompt architectures, agentic workflows, and real-time adaptive behaviors. Run rigorous experimentation and evaluation , developing custom metrics and frameworks to measure learning effectiveness and improve model reliability. Design and implement scalable, maintainable software , integrating AI capabilities with platform systems, content pipelines, and user experience components. Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions. Prototype and productionize novel model interactions , leveraging emerging research and capabilities to advance the tutor’s intelligence. Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior. Share knowledge and elevate teammates , contributing to a culture of clarity, simplicity, and continuous learning. Qualifications Flexibility: Benefit from flexible working hours because the future is flexible! Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth. Global retreats: Participate in international company retreats, fostering a global team spirit. Equipment: Yearly refreshment of your IT Equipment budget for your home working setup. Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

• Develop and train Computer Vision models for image and video analysis. • Implement solutions for object detection, image classification, segmentation, and tracking. • Prepare and manage datasets, including data cleaning, labelling, and augmentation. • Optimize models for GPU performance, inference speed, and scalability. • Deploy AI models into production using APIs and containerized services. • Integrate Computer Vision models with broader AI and analytics platforms. • Collaborate with software engineers, data scientists, and product teams. • Maintain documentation and ensure code quality and reproducibility.