AI Platform Engineer (Python or Typescript, Kubernetes, DevOps)

Holisticon Connect is a division within NEXER GROUP, a custom software development company started in Poland in 2017 with over 140 people. The company works with world-renowned brands from Scandinavia, the UK, and Western Europe, focusing on competence growth. The role involves joining a global leader in AI-powered video solutions for enterprise, working within a global team responsible for building and maintaining infrastructure for intelligent agents, foundation models, and automated workflows.

• Proficiency in at least one programming or scripting language (Python or TypeScript).
• Hands-on experience with AI-assisted development tools such as Claude Code.
• Experience building monitoring, dashboards, and observability systems.
• Strong Kubernetes knowledge (EKS) and Helm; CKA certification is a bonus.
• Practical experience using Terraform to provision and manage cloud infrastructure.
• Familiarity with AI automation frameworks such as LangChain or Haystack.
• Solid understanding of observability stacks including Prometheus, Grafana, and OpenTelemetry.
• Experience deploying, operating, and monitoring AI agents with attention to optimizing cloud costs.
• Strong communication abilities and comfort working with distributed, international teams.

• Designing, operating, and improving AWS infrastructure that hosts AI models and agent-based systems.
• Creating internal automation, developer tools, and utilities that support AI workloads, including solutions for analyzing agent performance and operational costs.
• Delivering Infrastructure-as-Code using Terraform.
• Managing Kubernetes clusters (EKS) and Helm deployments to ensure scalable and reliable environments.
• Using agentic tools such as Claude Code to streamline development processes and automate cloud-based AI workflows.
• Building monitoring, logging, metrics, and observability pipelines dedicated to AI-powered workflows.
• Working closely with architects and engineering teams to integrate AI into business processes through APIs, automation, and agent frameworks.
• Advocating for responsible automation and best practices across engineering teams.