AI Software Engineer

Quick Facts

• Role: AI Software Engineer
• Work mode: Warsaw or remote

Description

Develop and integrate AI-driven applications using LLMs, RAG, AI agents, and supporting platforms. Build features end-to-end—from APIs and data models to a working user interface—while ensuring security, permissions, auditing, and stable operation. You will also review and improve AI-generated code, run automated tests, and diagnose issues.

Responsibilities

• Develop functions from API and data model through to a working user interface (with Codex).
• Analyze requirements, define acceptance criteria, and prepare plans, instructions, and context for programming agents.
• Implement and integrate LLM, RAG, AI agents, and MCP services with monitoring of state, permissions, and costs.
• Build business processes, rules, forms, approvals, and document handling, including data isolation, access control, safe integrations, and system action logging.
• Review and fix AI-generated code; run automated tests and evaluate response quality.
• Diagnose bugs, refactor, update dependencies, document changes, and collaborate on architecture and deployments.

Requirements

• Minimum 3 years of Python programming experience and practical experience building applications using LLMs.
• Practical knowledge of web APIs (e.g., FastAPI), asynchronous programming, SQL, transactions, and database migrations.
• Ability to work with Codex or similar agents: split tasks, prepare context, assess changes, and debug independently.
• Knowledge of JavaScript or TypeScript, HTML, and CSS to develop and verify the UI (forms, app state, API integrations, and error handling).
• Understanding of RAG, vector search, agent tool calling, and managing application state and user approvals.
• Ability to design access control, secret protection, data isolation, and understanding of LLM-related threats.
• Practical knowledge of Git, automated tests, Docker, and basic Linux; ability to diagnose issues from logs.
• Ability to translate user needs into tasks and acceptance criteria and take responsibility for function quality.

Benefits

• Transparent and stable employment forms according to your preferences.
• Work on in-house AI products and projects for major public and private institutions.
• Internal training and course co-financing aligned to your career interests.
• Career growth opportunities, company laptop and phone, and a friendly work atmosphere.
• Private health insurance, additional liability insurance, and periodic preventive care.
• Bonus under an Employee Referral Program.
• No dress code, snacks at the office, and specialty coffee and tea.