Are you experienced in building AI-powered solutions, especially with modern NLP architectures and retrieval-based systems? Do you have strong Python skills and enjoy working with open-source tools in a cloud-native environment? If you're collaborative, curious, and excited to work on impactful, production-ready AI systems, we’d love to meet you.
🟠 What You’ll Do
As an AI Engineer at DataSentics, you’ll design and build intelligent applications using advanced machine learning and LLM-based architectures. You’ll work closely with clients to understand their needs and deliver cutting-edge AI solutions leveraging technologies like RAG, vector databases, and semantic search. You’ll collaborate with engineers, analysts, and project managers to:
- Define the problem: Understand the business goals and how AI can create real value.
- Design the solution: Build RAG pipelines, structure unstructured data, and fine-tune language models.
- Implement it: Work with vector stores, embedder models, and retrieval frameworks.
- Deploy it: Help bring your solutions into production using MLOps and LLMOps practices.
🟠 Why Join Us?
At DataSentics, we’re a experienced team of AI engineers, data scientists, and consultants building real-world applications with LLMs, embeddings, and retrieval technologies. We combine deep technical expertise with a practical, product-driven approach to AI.
🟠 Our Projects & Technology Stack:
We work on next-generation AI solutions across industries like finance, healthcare, manufacturing, and e-commerce.
Many of our current projects focus on:
- Document intelligence and search over unstructured corpora
- AI agents and chat interfaces powered by RAG
- Enterprise knowledge base integrations using vector DBs
Cloud platforms: Azure, AWS, Google Cloud
How we work: Agile teams (2–5 people), close collaboration, continuous delivery
Remote-first culture: Work from anywhere with optional offices in Prague and Brno
Flexible working: Part-time roles available starting at 30 hours/week
🟠 What We’re Looking For
- Strong Python programming skills and software engineering skills
- Experience with modern AI tools, RAG architectures, vector databases, and embedding models
- Familiarity with LLM frameworks and libraries (e.g., LangChain, LlamaIndex)
- Ability to design and deploy cloud-based AI systems
- Problem-solving mindset, a passion for learning, and a hands-on approach
🟠 What You’ll Get
- The opportunity to work on cutting-edge AI systems with real-world impact
- A collaborative environment focused on innovation and technical excellence
- Flexibility, remote work options, and a supportive, curious team culture
Curious to know more?
If you're excited about building next-gen AI products and working in a team that values learning and real-world outcomes, let’s talk!
