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: ● 2+ years of experience in software engineering with a focus on AI/ML (including internships or high-quality academic projects); ● Solid coding skills in Python and familiarity with data science libraries (Pandas, NumPy); ● Foundational knowledge of Large Language Models (LLMs) and interest in building RAG (retrieval-augmented generation) systems; ● Basic experience with frameworks like LlamaIndex or LangChain; ● Exposure to vector databases (e.g., Pinecone, Qdrant, FAISS) and semantic search concepts; ● Familiarity with deep learning frameworks such as PyTorch or TensorFlow; ● Knowledge of API development using FastAPI, Flask, or Django; ● Basic understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker); ● Strong problem-solving skills, attention to detail, and a proactive “self-starter” mindset; ● Bachelor’s degree in Computer Science, Mathematics, or a related field.
What you will do: Communication & Collaboration: ● Contribute as part of a scrum team dedicated to building high-quality AI products; ● Collaborate with team members and cross-functional teams to integrate ML models into user-facing applications; ● Maintain a positive, polite, and open-minded communication style.
Model Development & AI Solutions: ● AI/RAG: Assist in building and scaling retrieval pipelines and RAG-based applications; ● Experimentation: Assist in LLM fine-tuning, prompt engineering, and embedding optimization.
Evaluation and Optimization: ● Evaluate models using standard metrics (precision, recall, etc.); ● Analyze model performance and help address bottlenecks in the inference stack; ● Contribute to prototyping and early deployment phases of ML models.
Code Quality & Engineering: ● Write high-quality, extensible, and testable code by applying good engineering practices; ● Maintain high test coverage and participate in code reviews; ● Keep comprehensive and detailed documentation of model architectures, training procedures, and API services.
Continuous Improvement: ● Follow the latest research and industry trends in AI/ML; ● Apply new findings to improve existing workflows and model performance; ● Participate in estimation and planning sessions for new features.
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), public holidays (11 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. ● 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.
