AI Engineer (Python, Generative AI & Agent Systems)

Quick Facts

• Work focus: LLM applications, RAG, and agent systems
• Location: Prague (typically a mix of on-site and remote work)
• Teams: Czech and international; language requirements depend on the opportunity

Description

You will build practical generative AI applications using language models—integrating LLMs with company data, delivering reliable RAG/knowledge-base solutions, and developing orchestrated agent systems.

Depending on the project, you may work on internal GenAI tools, semantic search with answer-quality evaluation, agent orchestration with contextual memory and tool/API connections, AI support for software development workflows, and knowledge graph modeling for AI use cases.

Responsibilities

• Design and develop GenAI tools, integrate models with data sources, and support deployment and further development
• Process company information to enable semantic retrieval and evaluate response quality in RAG/knowledge-base solutions
• Develop and orchestrate AI agents, including contextual memory and connecting agents to tools and APIs
• Create solutions that support IT analysis and apply agentic AI in different stages of the software development lifecycle
• Model relationships using knowledge graphs to support AI application needs

Requirements

• Practical experience with Python development
• Experience implementing LLM applications, RAG, or AI agents; able to describe your personal contribution
• Knowledge of prompt engineering and output-quality evaluation approaches
• Experience connecting applications with APIs, databases, and other data sources
• Emphasis on maintainable code, testing, reliability, and safe handling of data
• Ability to collaborate with technical teams and stakeholders and explain solutions clearly

Benefits

• Project scope and engagement level depend on the specific opportunity
• Compensation based on project complexity, scope, and your experience
• Invoices paid within 3 business days