Requirements

Expected technologies

Python

Scikit

Pandas

AWS

LangChain

LLM

Deep Learning

OpenCV

Optional technologies

Computer Vision

Azure Computer Vision

Google Cloud Vision

Clarifai

Agentic Systems

Operating system

Windows

Linux

Our requirements

• Experience in coding using Python
• Familiarity with AWS possibilities for AI
• Proven practical experience in using AI technologies to solve real business cases
• Solid knowledge foundations around LLM and frameworks like LangChain
• Experience in developing RAG-based application
• Experience with Deep Learning platforms: TensorFlow or PyTorch
• Experience with Machine Learning Toolkit in either OpenCV, Scikit-learn, Pandas or similar
• Rapid prototyping skills
• Algorithmic and heuristic problem-solving skills
• English communicating skills (min. B2)

Optional

• Practical knowledge of Computer Vision problems (Image & Video processing): Object detection, Image segmentation, Image classification
• Experience with multiple Computer Vision cloud products (Azure Computer Vision, Google Cloud Vision, Clarifai)
• Hands-on experience in testing AI solutions (KPIs, testing heuristics)
• Agentic Systems
• Experience with cloud-native software development using AWS, Docker, GitHub

Your responsibilities

• Work on our own product in cooperation with a small Agile team that combines both business focused delivery with an R&D-centered ways of working
• Use existing AI models (owned or public)
• Use LLM/vLLM models and optimize it based on cost, performance and quality
• Training of custom vision model + fine-tuning
• Create infrastructure and work on its scalability, cost and performance
• Help product managers and business stakeholders understand AI's potential and limitations
• Actively share AI knowledge inside and outside the company (conducting workshops, presentations, writing blog articles and representing the company as a conference speaker)