Senior Software Engineer, AI Agent Platform

Cast Ai — Estonia · Posted ~5 hours ago

Senior Full-time

Skills

software engineering AI platforms LLM infrastructure Kubernetes API development system design testing production deployment LLM APIs GPU infrastructure VPC

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Summary ✨ AI‑Generated

Join an AI infrastructure team building a platform for reliable multi-model inference and agent-based applications. You will own features end-to-end, from design and implementation through testing and production rollout, while working across a modern cloud-native technology stack.

Highlights

High-agency engineering role with end-to-end ownership of features, rapid project delivery, and opportunities to work across multiple areas of a modern AI infrastructure stack.

Description

Why Kimchi? Kimchi is the AI platform inside CAST AI. We started by helping companies run LLMs on their own Kubernetes clusters and now we're providing a managed variant of those same capabilities. Our Infrastructure today Multi-model inference (MiniMax, Kimi, GLM-5, Nemotron, DeepSeek) with intelligent routing, an OpenAI-compatible API and deployment ranging from our GPUs to your own VPC. The inference layer is the foundation and the API is what sits in front of it as the primary channel for broadly and reliably distributing our AI services and powers our own Kimchi harness. As a Senior Software Engineer, you will have the opportunity to work on different key features of our product. All of these are high-agency roles across multiple parts of the tech stack that minimize process friction that would otherwise prevent you from shipping. In every team you will own features end-to-end: design, implementation, testing, production rollout. Most projects ship in 1-4 weeks. You'll work directly with product and other engineering teams on problems that don't have textbook solutions. We are currently hiring Senior Software Engineers for the following teams Agent Platform Team: The Agent Platform squad builds the infrastructure that lets teams run fleets of AI agents securely, whether in the cloud or self-hosted, so work can move confidently from a developer's laptop to production environments. The platform enforces least-privilege access to resources, requires human approval before agents can touch anything critical, and logs every action agents take for full auditability. The goal is to give engineering and operations teams the confidence to scale up agent usage without sacrificing security, control, or visibility into what their agents are actually doing. Responsibilities Design and build distributed systems that run agent fleets at scale across cloud and self-hosted environments, with security at its coreMake every agent action observable, auditable, and governableDevelop a remote-first experience of working with agents Requirements Production experience with Go or Typescript is strongly preferred; candidates without either should demonstrate strong systems programming skills in a comparable language.Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage.Hands-on experience with cloud platforms (AWS, GCP, or Azure) and Kubernetes is a strong plusObservability tooling (Prometheus, Grafana, OpenTelemetry), CI/CD and DevOps practices experience.Startup mindset: adaptable, proactive, and comfortable with ambiguity.Strong English skills, both verbal and written.You've personally driven a complex project end-to-end.(Agent Platform) Experience in virtualization, networking, security, and Kubernetes internals is a strong plus 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 technologyEquity options.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 RecruiterHiring Manager interviewTechnical interview (system design)Live codingCulture 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.