Itexus is looking for an experienced AI / GenAI Engineer to join our growing engineering team and help build modern AI-powered solutions based on Large Language Models (LLMs) and Generative AI.

In this role, you will work on developing AI-driven applications, agent-based systems, RAG pipelines, and AI services integrated into existing backend platforms and business processes. You’ll collaborate closely with product and engineering teams to design scalable AI solutions and bring them into production environments.

Location: Poland preferred, open to candidates across Europe

About the Role

The engineer will contribute to the development of production-ready AI services, including:
Integration of LLM models into business applications
Designing and implementing RAG architectures
Developing APIs for AI-powered services
Scaling AI solutions in cloud environments

Key Responsibilities

Develop AI services and Generative AI applications
Implement LLM-based functionality for various business use cases
Design and optimize RAG pipelines (Retrieval-Augmented Generation)
Integrate AI solutions into existing backend systems
Develop and maintain APIs for AI services
Work with embeddings, retrieval systems, and vector search
Optimize performance and reliability of AI-powered systems
Participate in architecture discussions and technology selection
Collaborate with product and engineering teams to deliver scalable AI solutions

Requirements

4+ years of commercial experience in Software Engineering or AI Engineering
Strong Python programming skills
Experience building backend services (FastAPI, Flask, Django, or similar frameworks)
Practical experience working with Large Language Models (LLMs)
Hands-on experience designing and implementing RAG pipelines
Understanding of prompt engineering and embeddings
Experience integrating APIs and external services
Experience working with cloud environments (Azure, AWS, or GCP)
Experience using Git and CI/CD practices
English level B2 or higher (ability to communicate in an international team)

Project Overview

You will work on building production-ready AI services, including:

Integrating LLM-based models
Designing and implementing RAG architectures
Developing APIs for AI-driven services
Scaling AI solutions within cloud-based environments

We’ll be happy to tell you more about the project, team, and company during the interview process.