Lead AI Back End Software Engineer (AI Architect Track)
⚲ Kraków, Warszawa, Wrocław, Poznań, Gdańsk
29 000 - 34 000 PLN netto (B2B)
Wymagania
- AWS
- CI/CD
- Microservices
- AI
- Kotlin
- Java
- Python
Opis stanowiska
Description
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
•
In your resume please allow our company to use your personal data
Apply
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
•
In your resume please allow our company to use your personal data
Apply
🔍 Dekoder Ogłoszenia
🔴
drive the architecture and delivery of AI-powered Search solutions, taking ownership of end-to-end system design, model integration, and platform scalability
Oczekuje się, że będziesz odpowiedzialny za cały cykl życia rozwiązań AI, od koncepcji po wdrożenie i utrzymanie, co może oznaczać dużą odpowiedzialność i presję.
🔴
guiding teams toward production-ready, high-quality outcomes
Może to oznaczać, że będziesz musiał zarządzać zespołem i odpowiadać za jego wyniki, nawet jeśli nie masz formalnej roli managerskiej.
🔴
AI Architect Track
Sugeruje ścieżkę rozwoju w kierunku architekta AI, ale może też oznaczać, że będziesz musiał samodzielnie definiować architekturę bez wsparcia doświadczonych architektów.
🟡
cutting-edge digital solutions
Często używane do opisu projektów, które mogą być jeszcze w fazie eksperymentalnej lub nie w pełni zdefiniowane.
🔴
highly distributed environme
Praca w rozproszonym środowisku może oznaczać wyzwania komunikacyjne i koordynacyjne między zespołami z różnych lokalizacji.