Lead Ai Back End Software Engineer Ai Architect Track at Nortal

Opis stanowiska:

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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 Firma 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 Firma to use your personal data

Szczegóły oferty:

• Firma: Nortal
• Stanowisko: Lead Ai Back End Software Engineer Ai Architect Track
• Miejsce pracy: Gdańsk
• Kraj: PL

Jak złożyć aplikację:

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