Genai/ Agentic AI Architect

apreel was founded in April 2010 by friends who dreamed of creating their own software house. As the company grew and gained client trust, it expanded its services to include IT expert leasing, which is now the main pillar of apreel's business. The founders continue to pursue their passion for creating proprietary IT solutions and aim for their continuous improvement.

• 4 to 10 years of experience in architecting or engineering AI-powered systems.
• Experience with LLM-based applications.
• Experience with retrieval-augmented generation (RAG).
• Experience with vector databases.
• Experience with agentic workflows.
• Experience with Python-based AI stack (LangChain, LangGraph).
• Ability to design flexible and modular architecture, not monolithic products.
• Minimum 5 years of experience in a similar position.
• Language skills: Polish (expert), English (advanced).

Core Responsibilities:

• Design end-to-end architectures for GenAI/LLM-based solutions across 100+ use cases.
• Review requirements and business architecture documents and translate them into actionable solution designs.
• Collaborate closely with TPMs and engineering teams to guide implementation, troubleshoot risks, and ensure alignment.
• Create scalable, repeatable solution patterns, allowing reuse of components across pods and industries (e.g., reusable release-management agents across SAP/Oracle/Guidewire).
• Balance speed over formality early on, while gradually contributing to future standardization across teams.
• Support multi-shipment planning, contributing to feasibility assessments (POC -> MVP).
• Participate in an architecture guild/committee as standards mature.