Senior AI/ML Engineer

Braver IT S.A. offers a long-term cooperation on an international project with a fully remote work environment, private medical care, and multisport card benefits.

• At least 6 years of commercial experience in AI / Machine Learning
• Strong hands-on experience building AI/ML solutions for real-world products and production environments
• Strong practical knowledge of Python
• Hands-on experience with LLMs, GenAI and modern machine learning approaches
• Experience building, testing, deploying and maintaining AI solutions in production
• Experience taking solutions from research / PoC / prototype to production
• Ability to independently research different approaches, implement them and validate results experimentally
• Strong understanding of AI/ML evaluation, including quality, accuracy, reliability, latency and cost
• Experience debugging and improving AI systems based on production behaviour and user feedback
• Strong engineering mindset — ability to build reliable and maintainable solutions

Nice to have:

• Experience with RAG, AI agents, embeddings or semantic search
• Experience with AI evaluation frameworks or LLM observability tools
• Experience with AWS or other cloud platforms
• Experience integrating AI models with backend systems and APIs
• Experience with Node.js / JavaScript
• Previous experience in travel technology, hospitality, marketplaces or booking platforms

• Research, design and implement AI/ML solutions addressing complex product and data challenges
• Build and integrate production-ready AI-powered features
• Explore different technical approaches, run experiments and evaluate results to identify the most effective solutions
• Develop Python-based AI/ML applications, workflows and data processing solutions
• Build prototypes and turn successful experiments into scalable, reliable production systems
• Work with LLMs, machine learning models and AI APIs as part of real product features
• Define evaluation methods and metrics to measure quality, accuracy, latency, cost and business impact
• Investigate model behaviour, identify performance issues and improve AI solutions based on real-world results
• Work closely with engineering and product teams to integrate AI capabilities into existing systems
• Take ownership of AI initiatives from initial research through implementation, deployment and continuous improvement