Senior AI Python Engineer (AI)

TL;DR

Senior AI Python Engineer (AI): Building and optimizing generative AI systems, agents, and vector search infrastructure with an accent on scalability, LLM evaluation, and cloud-native microservices. Focus on designing sophisticated AI workflows, implementing high-performance retrieval algorithms, and integrating AI deeply into the data analytics platform.

Location: Hybrid (Prague, Czech Republic)

Company

A data intelligence platform empowering companies to turn raw data into business impact through agentic AI and embedded analytics.

What you will do

• Design and enhance multi-layer generative AI systems, including agents, workflows, and LLM monitoring.
• Develop text embedding infrastructure, vector search engines, and retrieval algorithms.
• Shape the architecture of a groundbreaking AI-native analytics solution.
• Implement Python microservices within Kubernetes for cloud-based integration and communication.
• Ensure scalability, performance, and security across AI infrastructure.
• Collaborate with senior engineers, UX designers, and product managers to bring innovative ideas to life.

Requirements

• Proficiency in Python and experience building microservices.
• Strong understanding of generative AI concepts.
• Experience with cloud-based back-end systems and distributed architectures (Kubernetes, Docker, gRPC, Protobuf, Apache Pulsar, AWS, GCP, or Azure).
• Proactive, self-driven, and able to learn complex subject matter quickly.
• Must be based in or able to work in Prague, Czech Republic (Hybrid).

Nice to have

• Knowledge of context engineering, LLM Ops, and RAG frameworks (Langchain, LlamaIndex, Haystack).
• Experience with knowledge graphs and CI/CD style development.
• Familiarity with data science concepts or building ML infrastructure.

Culture & Benefits

• Hybrid work model with flexible working hours.
• Competitive compensation including an annual bonus and stock options.
• Generous leave: 25 vacation days plus personal days.
• Practical perks: laptop for personal use, mobile phone/tariff, and Edenred Cafeteria points.
• Office environment: dog-friendly, snacks, coffee, company events, and bike storage.