AI Engineer
AI Summary
Design, build, and integrate AI-powered agents and agentic workflows that automate and optimize software engineering processes across product, architecture, development, merge review, and quality assurance.
About this role
Overview
We are looking for an experienced AI Engineer who will help design, develop, integrate, and scale AI-powered solutions that support product, architecture, development, merge review, and quality assurance processes.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 projectTUI, 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.
As part of the team, you will be involved in creating intelligent AI agents and agentic workflows that automate and optimise key stages of the engineering lifecycle. The focus is on improving software quality, engineering productivity, consistency, and delivery speed while enabling AI-assisted development across cross-platform mobile applications.
Responsibilities
- Design, build, and integrate AI-powered agents that support the Product Development Lifecycle, including product, architecture, development, merge review, and quality assurance functions.
- Build and operate agentic workflows using Amazon Bedrock AgentCore and related AI platforms.
- Define agent architectures, orchestration flows, model configurations, evaluation approaches, and governance controls.
- Integrate AI agents with engineering tools, repositories, CI/CD pipelines, testing frameworks, and developer workflows.
- Develop and maintain tooling and repository integrations that enable AI-assisted software delivery.
- Ensure AI-generated outputs meet established engineering, security, quality, and assurance standards.
- Contribute to the continuous improvement of the PDLC Playbook by developing reusable patterns, standards, and best practices.
- Collaborate with product, architecture, engineering, QA, platform, and security teams to identify opportunities for AI-led automation.
- Apply software engineering expertise to support AI-assisted development across enterprise applications and platforms.
- Evaluate emerging AI tools, frameworks, models, and engineering practices to enhance software delivery capabilities.
Qualifications
Strong software engineering background with hands-on experience in Java (preferred), JavaScript/TypeScript, or Python.
- Strong experience designing and building AI applications using Generative AI, Large Language Models (LLMs), and modern AI engineering practices.
- Hands-on experience developing agent-based systems, autonomous workflows, or multi-agent architectures.
- Experience with Amazon Bedrock, Bedrock AgentCore, Amazon Q, or similar enterprise AI platforms.
- Strong understanding of prompt engineering, agent orchestration, model configuration, evaluation frameworks, guardrails, and AI safety controls.
- Experience integrating AI solutions into enterprise software engineering environments and development workflows.
- Proven experience using AI-native development tools such as Kiro, GitHub Copilot, Claude, Amazon Q, or similar platforms.
- Experience designing, developing, and maintaining enterprise-grade applications, APIs, and cloud-native solutions.
- Strong understanding of software architecture, code quality, testing strategies, CI/CD pipelines, and agile development practices.
- Experience working with AWS environments and integrating AI capabilities into cloud-based engineering platforms and developer workflows.
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
In your resume please allow our company to use your personal data
Skills
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