Senior AI Data Infrastructure Engineer

**HRvizer is partnering with a fast-growing European technology company that is redefining how knowledge-intensive industries leverage Artificial Intelligence. Our client has developed an advanced AI platform that automates complex business processes, allowing specialists to focus on strategic decision-making rather than repetitive manual work.

Supported by leading investors and experiencing rapid international growth, the company is looking for a Senior AI Data Infrastructure Engineer to strengthen its engineering team.

About the Role

This position is ideal for an experienced software engineer who enjoys building scalable backend systems and reliable data infrastructure for AI-powered applications. You will play a key role in designing the technical foundation that enables Large Language Model (LLM) solutions to operate efficiently, reliably, and at scale.

Working alongside product, AI, and engineering teams, you’ll help improve system quality, performance, monitoring, and operational excellence across production AI environments.

Key Responsibilities

* Design and maintain scalable data pipelines supporting AI-driven appl

ications.

* Develop frameworks to evaluate AI model performance using benchmark datasets, automated testing, and human validation processes.

* Implement monitoring solutions that provide visibility into AI system behaviour, performance, latency, and reliability.

* Analyse production data to identify improvement opportunities, optimise costs, and increase system stability.

* Build tooling for logging, tracing, debugging, and performance analysis across distributed services.

* Collaborate on backend architecture and contribute to the continuous enhancement of AI-powered products.

* Create automated validation processes ensuring updates to prompts, models, and workflows meet predefined quality standards before deployment.

* Support long-term storage, replay, and analysis of production events and AI interactions.

**To be successful in this role, you should have:

* A minimum of 5 years of hands-on experience in a similar position, such as Data Engineer, AI Infrastructure Engineer, Backend Engineer, Machine Learning Engineer, or a closely related role.**

* Strong professional experience with Python and backend software development.

* Advanced SQL skills and experience working with large-scale datasets.

* Hands-on experience designing, building, and maintaining modern data pipelines, ETL/ELT processes, or event-driven architectures.

* Experience deploying and operating cloud-based solutions (GCP preferred; AWS or Azure are also welcomed).

* Solid understanding of analytical databases, data warehouses, and high-volume event or trace data.

* Strong knowledge of system architecture, observability, monitoring,

logging, debugging, and software reliability best practices.

* The ability to make sound technical decisions, communicate architectural trade-offs, and contribute to scalable engineering solutions.

* Excellent analytical and problem-solving skills, with the ability to thrive in fast-paced, evolving environments.

Preferred Qualifications

* Experience working with production-grade LLM or Generative AI applications.

* Knowledge of AI model evaluation, prompt optimisation, or agent-based architectures.

* Familiarity with workflow orchestration platforms (e.g., Temporal or similar).

* Experience in highly regulated industries such as finance, compliance, or enterprise software.

* Previous experience in a startup or high-growth technology company is considered an advantage.

**What Our Client Offers

* Competitive salary complemented by an attractive equity p

rogramme.

* Opportunity to contribute to cutting-edge AI pr