At Geniusee, we help businesses thrive through technology partnerships and strengthen the engineering community by sharing knowledge and creating opportunities
We live by our values: Continuous Growth, Team Synergy, Taking Responsibility, Conscious Openness, and Result-Driven Mindset. Here, you’ll find a safe, inclusive, and supportive environment where your voice is heard, and feedback is welcome
Whether you want to work from home or from our offices in Kyiv / Lviv / Warsaw with stable electricity and Wi-Fi, we’ve got you covered. Join us and make an impact
Requirements ● 3+ years of experience in building or integrating AI systems, data pipelines, or retrieval-based architectures. ● Strong Python skills and hands-on experience with modern AI frameworks and libraries. ● Experience with data preprocessing, transformation, indexing, and query optimization. ● Practical experience with Retrieval-Augmented Generation (RAG) pipelines — building retrievers, generators, and optimizing retrieval quality. ● Experience with SQL/NoSQL and at least one vector database (Pinecone, FAISS, Qdrant, or OpenSearch vector engine). ● Hands-on experience running computer vision pipelines — object detection, segmentation, feature extraction, or similar vision tasks in production or research settings. ● Practical experience with 3D scene reconstruction using Gaussian Splatting (e.g., 3DGS or derivatives), including training, rendering, and integration into downstream applications. ● Strong analytical and problem-solving skills, independence, and ability to work in agile environments.
Responsibilities ● Design, build, and maintain AI systems focused on RAG pipelines — retrieval, context construction, and generation. ● Develop and optimize ETL/data pipelines for structured and unstructured data. ● Integrate AI services into production systems using REST APIs. ● Run and maintain computer vision workflows, including model inference, image/video preprocessing, and integration with broader AI pipelines. ● Execute Gaussian Splatting reconstruction pipelines — from raw capture data through training and rendering — and contribute to their optimization and productionization. ● Contribute to technical documentation, planning, and estimation of AI-related tasks. ● Collaborate with backend and DevOps teams to ensure scalability, reliability, and efficiency of AI solutions.
Nice to Have ● Experience with AWS (S3, Lambda, ECS, Bedrock). ● Familiarity with RAG frameworks (LangChain, LlamaIndex) and retrieval/search techniques (semantic, hybrid, keyword). ● Experience with computer vision frameworks such as OpenCV, PyTorch Vision, or Detectron2. ● Familiarity with NeRF-based or Gaussian Splatting tools (e.g., nerfstudio, gaussian-splatting, gsplat) and related 3D representation techniques. ● Contributions to open-source projects or participation in R&D initiatives related to AI, retrieval systems, computer vision, or 3D reconstruction.
What will you get:
Career growth & projects ● Competitive salary based on your skills and experience, and a benefits package. ● Regular performance appraisals to support your career development. ● Professional development support: online courses, certifications, and study compensation (including English courses). ● A modern tech stack across challenging, long-term projects.
Health & well-being ● Paid vacation (18 working days) and sick leave (15 days). ● VIP medical insurance or sports coverage.
Work environment & flexibility ● Remote work from anywhere in the world or in one of our offices in Kyiv, Lviv, or Warsaw. ● Coworking compensation. ● Necessary equipment to perform your work.
Culture & community ● A collaborative and open culture where contributions are recognized. ● Regular corporate online & offline activities. ● Geniusee Charity Fund, making a difference beyond tech.
