AI / ML Services Engineer

Square One Resources Limited; Polska; Remote; PLN 145,000 - 242,000; Full time

Job summary

Square One Resources Limited is hiring an AI/ML Services Engineer for a 12-month remote contract in Poland. You will design, develop and maintain production-grade AI systems, integrating tools and managing memory, orchestration and failures.

You will evaluate agent performance with datasets and metrics, and apply model adaptation techniques such as SFT and LoRA/QLoRA. The role requires hands-on experience with enterprise search, vector databases, and deploying services on Kubernetes and cloud

Qualifications

• Hands-on experience building and deploying production AI systems.
• Experience evaluating agent and model behaviour via automated tests and metrics.
• Production experience with model adaptation or fine-tuning techniques.

Responsibilities

• Design, develop and maintain production-grade agentic AI systems with tool integration and orchestration.
• Evaluate AI agents using repeatable datasets, metrics, and human feedback.
• Implement model adaptation techniques including SFT, LoRA/QLoRA, and RL approaches.
• Develop enterprise search and document processing using vector search and databases.
• Deploy, monitor and troubleshoot AI services on Kubernetes and cloud platforms.

Tools

Docker

Kubernetes

Elasticsearch

SQL/PostgreSQL

Git/GitLab/Bitbucket

Job description

AI/ML Services Engineer

Rate: Up to €300 per day (Outside IR35)

Duration: 12-month contract

Location: Remote - Poland

Key Responsibilities:

• Design, develop and maintain production-grade agentic AI systems, including tool integration, memory, orchestration and failure handling.
• Evaluate AI agents and model performance using repeatable datasets, quality metrics, regression testing and human feedback.
• Implement model adaptation and optimisation techniques, including supervised fine-tuning, preference-based or reinforcement learning approaches, and LoRA/QLoRA.
• Develop enterprise search, document processing and retrieval solutions using vector search, relational databases or graph-based technologies.
• Deploy, monitor and troubleshoot AI services and applications running on Kubernetes.
• Diagnose issues across distributed, asynchronous and GPU-backed workloads.
• Build and maintain containerised applications using Docker and Kubernetes, supporting scalable and reliable deployments.
• Contribute to cloud-native development across GCP, AWS or Azure, working with CI/CD pipelines and version control.
• Design secure, maintainable software and proactively identify potential security risks.

Essential Skills & Experience:

• Hands-on experience building and deploying production agentic AI systems using frameworks such as LangGraph, AutoGen, Google ADK, AWS Strands or equivalent.
• Experience evaluating AI agent and model behaviour through automated testing, quality metrics and regression frameworks.
• Production experience in model adaptation or fine-tuning, including SFT and at least one additional technique such as reinforcement or preference-based tuning, LoRA/QLoRA, distillation or teacher/student approaches.
• Experience with enterprise search, document AI or graph-based retrieval, alongside technologies such as Elasticsearch, SQL/PostgreSQL, vector databases or graph databases.
• Practical experience deploying and debugging Kubernetes applications, including workloads, configuration, autoscaling, resource utilisation, logs, metrics and traces.
• Experience with distributed systems, asynchronous processing or GPU-backed workloads.
• Production experience with at least one major cloud platform: GCP, AWS or Azure.
• Experience with Docker, CI/CD pipelines and version control tools such as Git, GitLab or Bitbucket.

Desirable Skills:

• Experience with multiple cloud platforms.
• Go programming experience.
• Experience developing administrative command consoles or data-heavy dashboards.
• Familiarity with Enterprise Content Management (ECM), Business Process Management (BPM) or Intelligent Document Processing (IDP) systems.
• Experience working with global engineering teams across product, infrastructure and operations.

Disclaimer

Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies.

Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.