AI Engineer
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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.