Python AI Engineer

Itexus is looking for an experienced Python AI Engineer to join the team working on a fast-growing AI-powered SaaS platform. The product automates the daily workflows of IT managers by providing a smart assistant that tracks performance, identifies risks, and gives a real-time project overview. 

As part of the team, you’ll help build and optimize robust systems powered by large language models (LLMs), agentic architectures, and retrieval-augmented generation (RAG). You’ll work closely with cloud services, orchestrate AI pipelines, and contribute to the development of smart assistants and intelligent automation tools.

What you’ll do:

• Design and implement AI systems powered by LLMs, including chatbots, agents, and RAG pipelines
• Fine-tune and optimize models, including custom RAG workflows and prompt strategies
• Build and enhance Plan-and-Act agents for automating tasks and decisions
• Implement OCR, computer vision, and text-to-speech features as part of AI flows
• Use LangChain to generate dynamic SQL queries from user input
• Integrate with cloud platforms (Azure, AWS, GCP) and deploy scalable solutions
• Ensure performance through the use of GPU acceleration, Docker, and MLOps
• Participate in code reviews, architecture discussions, and data annotation cycles
• Work cross-functionally with designers, product managers, and backend teams
• Mentor colleagues and contribute to knowledge sharing when relevant

Requirements:

• 3+ years of Python development experience
• 2+ years of experience with FastAPI
• Hands-on experience with LLM/RAG systems and fine-tuning models
• Experience with at least one of the following: OCR, Computer Vision, Text-to-Speech
• Strong understanding of LangChain and its application for query generation
• Experience building Plan-and-Act agents or AI decision systems
• Proficiency with at least one cloud platform (Azure, AWS, or GCP)
• English level: B1+ or higher, with the ability to work on prompt formulation
• Strong communication skills and ability to work both independently and in a team

Nice to have:

• Experience with MLOps and deployment using GPU-powered infrastructure
• Familiarity with tools like ChatGPT, Mistral, and other open-source or on-prem LLMs
• Understanding of data labeling workflows and dataset quality improvement
• Experience mentoring or leading small engineering teams

 

We would be delighted to share more information about our company during our meeting.