Lead AI Back End Software Engineer (AI Architect Track)

Role Overview

We are looking for a Senior/Lead AI Back End Software Engineer (AI Architect Track) who will drive the architecture and delivery of AI-powered Search solutions, taking ownership of end-to-end system design, model integration, and platform scalability while guiding teams toward production-ready, high-quality outcomes.

What You Will Do

Lead the architecture and design of AI-powered Search solutions, drive end-to-end delivery from discovery and validation to production and continuous improvement, design and implement solutions using GenAI models, and ensure platform reliability.

Why It Might Be a Fit

You will join a global Search Services team within a large-scale digital platform, responsible for filtering, sorting, and enriching product data for customer-facing systems. The team operates in a highly distributed environment across multiple countries and focuses on building AI-powered search capabilities that enhance user experience through faster, smarter, and more relevant results.

Requirements

• Strong experience designing and operating large-scale backend systems in production
• Deep proficiency in Java or Kotlin, with hands-on experience in cloud-native development
• Strong experience with microservices architecture, including performance tuning and reliability patterns
• Experience with AWS cloud architecture (networking, IAM, observability, scalability)
• Practical experience delivering AI/LLM-based solutions in production (e.g. RAG, orchestration, evaluation, monitoring)
• Strong understanding of ML/AI concepts (embeddings, retrieval, model evaluation, safety considerations)
• Experience with Python and AI/ML tooling
• Experience with REST and/or GraphQL APIs
• Experience working with SQL and/or NoSQL databases
• Strong DevSecOps mindset and experience with CI/CD pipelines
• Excellent communication skills and ability to work with both technical and non-technical stakeholders
• Leadership mindset with experience mentoring or coaching engineers
• High level of English (written and spoken)
• Proactive, ownership-driven, and comfortable working in ambiguous environments

Benefits

• 24 working days of paid vacation
• 11 paid national holidays
• Health care: up to 10 paid sick days, on-demand medical insurance, vaccinations
• Mental health support: webinars, resources, and compensation for therapy sessions
• Access to our corporate learning platform
• Language classes (English)
• Flexible benefits budget: a fixed monthly amount you can spend on what matters most to you - medical insurance, sports, leisure, fuel, and more
• 8-hour workday aligned with the client’s working hours
• Hybrid work options: work from home with the option to use our cozy office space whenever needed
• Engaging team events and thoughtful gifts throughout the year