AI Engineer

This is a remote position.

• Design and develop AI-powered applications and intelligent automation solutions;
  
• Work with clients and internal stakeholders to identify opportunities where LLM-based solutions can deliver value;
  
• Build and maintain data pipelines, prompt architectures, and datasets that support effective AI models;
  
• Evaluate and optimize AI systems for accuracy, reliability, scalability, and security;
  
• Validate technical approaches while ensuring solutions provide measurable business impact;
  
• Stay current with advancements in LLM technologies, frameworks, and best practices to continuously improve implementations;
  
• You strive to be proactive and responsible for your decisions, lead discussions and contribute your ideas, without waiting for instructions.
  

Requirements

• Strong understanding of the AI development lifecycle from experimentation to production deployment;
  
• Experience working with modern LLM platforms and APIs such as OpenAI, Anthropic, Amazon Bedrock, or Google Gemini;
  
• Knowledge of advanced AI system architectures including Retrieval-Augmented Generation (RAG) and AI agents;
  
• Experience deploying scalable AI solutions with attention to performance, reliability, and cost efficiency;
  
• Ability to evaluate generative AI outputs using techniques such as retrieval validation, classification, or LLM-based evaluation methods;
  
• Proven experience delivering AI or machine learning solutions in production environments;
  
• Strong analytical and problem-solving skills with high attention to detail;
  
• Good written and spoken English communication skills (B2 or higher).
  

• Experience designing experiments and performing A/B testing to improve model performance;
  
• Knowledge of retrieval systems, vector databases, and ranking techniques;
  
• Experience deploying AI systems on cloud platforms such as Azure OpenAI or Amazon Bedrock;
  
• Familiarity with enterprise AI platforms like AWS AgentCore, Databricks AgentBricks, or Azure AI Foundry;
  
• Experience with monitoring, observability, and evaluation tools for AI systems.
  

Benefits

• Collaborating with a highly motivated and professional team, which values your ideas and expertise;
  
• Enjoying a dynamic work environment, where you'll be empowered with diverse tasks and the freedom to make decisions;
  
• Taking part in corporate events that bring the team together and strengthen team spirit;
  
• Accessing select corporate perks and discounts;
  
• Working hours 11:00-20:00 with remote or hybrid options.