Big news! Cast AI closes strategic investment valuing it at over $1 billion, introduces OMNI compute - a unified compute marketplace.

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Senior AI Engineer – Agentic

European Union

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Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn’t work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives

We’re headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.

Unicorn momentum

In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we’re just getting started.

Join us as we build the future of autonomous infrastructure.


About the role

APA/Agentic – An intelligent agentic system that not only detects application performance issues but proactively resolves them. By deeply integrating with observability stacks and leveraging Kubernetes, APA automates optimization, scaling, security, and recovery, enabling applications to run faster, cheaper, and more reliably.

 

Here are some of the tools we use daily:

  • Languages: Python (optionally Golang)
  • AI: LLMs (SaaS, self-hosted), Agents and Tools
  • Observability: LGTM Stack, Arize Phoenix
  • CI/CD & GitOps: GitLab CI with ArgoCD.

Requirements:

  • Strong software engineering skills in Python.
  • Hands-on experience integrating LLMs into production-grade systems.
  • Fluency operating in Kubernetes clusters.
  • Strong English skills, both verbal and written.
  • Ability to work independently and collaboratively within a team.
  • Startup mindset: adaptable, proactive, and comfortable with ambiguity.
  • A proactive, problem-solving mindset with a “yes we can” attitude.

Responsibilities:

  • Build, test, and evaluate autonomous agents using large language models (LLMs).
  • Collaborate with Product teams to identify high-impact use cases for AI-driven automation in observability and infrastructure.
  • Design and develop tools that integrate with observability platforms (e.g., monitoring, logging, and tracing systems), codebases, and internal systems.
  • Develop and maintain reliable pipelines that combine agentic workflows with traditional code-based solutions to create production-ready, deployable components.
  • Stay up-to-date with advancements in LLMs, AI agents, and related tooling, and bring in best practices and new ideas to the team.

What’s in it for you?

  • Competitive salary (€6,500 – €9,000 gross, depending on the level of experience)
  • Enjoy a flexible, remote-first global environment.
  • Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
  • Equity options.
  • Private health insurance.
  • Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
  • Spend 10% of your work time on personal projects or self-improvement. 
  • Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills.
  • Annual hackathon to spark new ideas and strengthen team bonds.
  • Team-building budget and company events to connect with your colleagues.
  • Equipment budget to ensure you have everything you need.
  • Extra days off to help maintain a healthy work-life balance.

Hiring process

  • Screening call with Recruiter
  • Hiring Manager interview
  • Technical interview (system design)
  • Live coding
  • Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.
#LI-Rem

Cast AI is the leading Application Performance Automation platform, enabling customers to cut cloud costs, improve performance, and boost productivity.

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