ai engineer for tailored business solutions

Itransition delivers tailored AI solutions powered by LLMs, including chatbots and agent workflows, to address specific business objectives.

• Build, launch, and maintain full-cycle AI products;
• Partner with customers to uncover their goals and propose LLM-powered solutions tailored to their context;
• Create and maintain reliable data processing pipelines that ensure the accuracy and efficiency of AI models;
• Monitor and optimize AI system performance, focusing on correctness, security, scalability, and compliance with relevant regulations;
• Run exploratory research and fast prototypes to test technical feasibility and demonstrate the business value of AI solutions;
• Stay updated on the rapidly changing LLM landscape, including new models, frameworks, and techniques.

• Advanced Python skills, including practical experience with web frameworks such as FastAPI or comparable tools;
• Solid understanding of the full lifecycle of building AI-powered applications;
• Hands-on experience with leading LLM platforms and APIs, including OpenAI, Anthropic, Amazon Bedrock, and Gemini;
• Experience with ecosystem tools such as LangGraph, LlamaIndex, and Strands Agents;
• Understanding of AI integration approaches such as RAG and Agents;
• Track record of deploying AI systems in production;
• Ability to assess generative AI output quality using retrieval and classification metrics and LLM-based evaluation techniques;
• Hands-on experience in AI engineering and delivering ML-based solutions;
• Strong problem-solving skills and attention to detail;
• Strong communication, teamwork, and relationship-building skills.

• Competitive compensation that depends on qualification and skills;
• Career development system with clear skill qualifications;
• Flexible working hours aligned to the employee’s schedule;
• Corporate medical insurance covering services of private and public medical centers;
• Online English courses;
• Corporate parties and events for employees and their children;
• Internal conferences, workshops, and meetups for learning and experience sharing;
• Gym membership compensation;
• Five days of paid sick leave per year without requiring a sick-leave certificate.