AI/ML Engineer
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Role details
Tech stack
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Job description
This is an opportunity to join a growing AI and Data function where you’ll help move AI use cases from concept into production, delivering measurable business impact. You’ll work across the full solution lifecycle, combining software engineering, machine learning, data integration, and modern AI technologies to build products that solve real business challenges., As an AI/ML Engineer, you will design, develop, and deploy production-grade AI solutions that deliver tangible business value. Responsibilities include:
- Building and scaling AI-powered applications and backend services using Python
- Developing AI assistants, agent workflows, and orchestration frameworks using modern LLM technologies
- Translating business requirements into reliable, secure, and production-ready AI solutions
- Integrating enterprise data sources into AI products and services
- Collaborating with data, engineering, and business stakeholders to deliver end-to-end solutions
- Creating reusable components, tools, and frameworks to accelerate future AI development
- Developing and maintaining automated testing and evaluation frameworks for AI applications
- Supporting containerised deployments, CI/CD pipelines, and operational best practices
- Monitoring solution performance and driving continuous improvement after deployment
- Ensuring solutions align with security, privacy, and responsible AI standards
Requirements
- Strong commercial experience building production-grade applications in Python
- Expertise with FastAPI, Pydantic, and API-based architectures
- Experience developing LLM-powered applications using technologies such as OpenAI, LangChain, and LangGraph
- Strong understanding of prompt engineering, agent orchestration, tool calling, and structured outputs
- Experience working with Databricks, SQL, data pipelines, and enterprise data integration
- Knowledge of automated testing and quality assurance practices for AI applications
- Experience with Docker, Azure DevOps, CI/CD, and cloud-based environments
- Understanding of software engineering best practices, including maintainability, observability, and scalability
- Ability to work effectively with both technical and non-technical stakeholders
- A collaborative mindset and passion for delivering high-quality AI products
Benefits & conditions
- €78,000 base salary depending on experience
- Annual bonus and comprehensive benefits package
- Hybrid working environment
- Exposure to cutting-edge AI and machine learning technologies
- Opportunity to work on high-impact, enterprise-scale AI initiatives
- Strong career progression within a growing AI and Data function
- Collaborative and innovative technology culture
About the company
Our client is a well-established international organisation investing heavily in AI, data, and digital innovation. They are focused on building scalable AI-powered products that enhance customer experiences and improve operational efficiency. The business combines the stability of an established organisation with the agility and ambition of a modern technology-focused environment. AI is a strategic priority, offering the opportunity to work on impactful initiatives with strong visibility across the organisation.
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