almost 2 years ago
Brno, CzechiaMid Level
Responsibilities
- Design and implement end-to-end AI solutions.
- Build intelligent, LLM-powered systems for text- and document-heavy use cases.
- Process unstructured data such as documents, PDFs, and text streams into usable signals.
- Integrate and operate AI components within larger backend systems.
- Continuously improve the robustness, quality, and performance of AI-driven features.
- Monitor, iterate on, and improve the AI systems owned by the engineer.
- Collaborate with product managers and engineers to turn ambiguous problems into production AI capabilities.
Requirements
- Strong hands-on experience writing maintainable Python code.
- Solid proficiency with Python and its ecosystem, including tools such as NumPy, Pandas, PyTorch, and Hugging Face.
- Practical understanding of modern machine learning techniques, including neural networks and fine-tuning.
- Experience implementing end-to-end ML/AI solutions.
- Familiarity with Large Language Models and applying them to real-world problems.
- Experience deploying or operating AI systems on AWS, GCP, or Azure is a plus but not required.
Benefits
- Share options.
- 25 days of vacation.
- Five sick and career days.
- Group life insurance.
- Enhanced maternity and paternity leave.
- Pension or insurance plan contribution.
- GastroPass.
- FlexiPass contribution or Multisport card.
- Quality referral bonus program.
- English language courses with a professional teacher.
- The role is based in a specified region, and applicants must be legally able to work there.
Tech Stack
Categories
About Vertice
Vertice builds a SaaS procurement and spend-optimization platform for finance and procurement teams, combining AI-driven analytics, agentic workflows, and expert negotiation support to cut SaaS and cloud costs. The company sells subscriptions with optional managed buying services. Founded in 2021 and headquartered in London, it is privately held and serves enterprises globally, with customers reported across 100+ countries.