Lead AI Back End Software Engineer (AI Architect Track)

Job Locations UA-Lviv | PL-Kraków
Job Post Information* : Posted Date 1 week ago(21/05/2026 08:51)
ID
2026-5867
# of Openings
1
Category
Engineering

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.

 

About Nortal:

We’re Nortal. We think big and create cutting-edge digital solutions with a global reach. And with 25 years of experience, 2,700+ professional experts, and half a billion people worldwide impacted by our work, we believe we’ve got the numbers to back up that statement. 

 

Our global teams have played a significant role in many Fortune 500 companies’ projects and systems and have been the driving force of digital transformation for governments, healthcare institutions, and leading enterprises worldwide. We combine best-in-class strategic consulting with software engineering, data, and design practices to bring our visions to life. 

 


About the project
TUI, is a global business with over 70 000 people on board, great history and challenging plans for building a digital future. TUI is the largest leisure, travel and tourism company globally, and it owns travel agencies, hotels, airlines, cruise ships and retail shops.

 

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.

 

Responsibilities

  • Lead the architecture and design of AI-powered Search solutions, covering services, data flows, and model integration
  • Drive end-to-end delivery from discovery and validation to production and continuous improvement
  • Design and implement solutions using GenAI models, including orchestration, evaluation strategies, and retrieval-augmented generation (RAG)
  • Define reference architectures and best practices for secure, scalable, and cost-efficient model usage
  • Ensure platform reliability, including latency optimisation, observability, security, and cost control
  • Conduct and guide proof-of-concepts (POCs), validating approaches based on performance, accuracy, and cost
  • Collaborate closely with architecture, product, data, and engineering teams to align solutions and trade-offs
  • Lead technical discussions, workshops, and design reviews across teams
  • Mentor engineers and contribute to building a strong engineering culture
  • Research and promote new technologies, tools, and approaches in AI and backend engineering

Qualifications

  • 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

Nice to Have

  • Hands-on experience with AWS Bedrock and GenAI tooling
  • Experience with OpenSearch / Elasticsearch and search relevance tuning
  • Experience with Terraform and Infrastructure as Code
  • Familiarity with GitLab CI or similar CI/CD tools
  • Experience defining LLM evaluation frameworks (prompt versioning, testing, red-teaming)
  • Understanding of event-driven architectures
  • Experience working in global, distributed teams

Nortal offers:

  • 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

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