Senior Software Engineer | Kimchi (API Platform Team)
Senior Software Engineer on CAST AI's Kimchi team building the inference API platform for their managed LLM-inference service: owning datastores, distributed systems, billing/usage metering, observability and CI/CD end-to-end. Day-to-day is Go/TypeScript engineering on cloud (AWS/GCP/Azure) and Kubernetes infrastructure.
- Compensation
- €6.5K–€9K / mo
- Location
- Bulgaria; Croatia; Cyprus; Estonia; Finland; Greece; Hungary; Ireland; Latvia; Lithuania; Malta; Moldova; Montenegro; North Macedonia; Poland; Romania; Slovakia; Slovenia; Sweden; Ukraine
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Strong debugging, optimization, and performance-tuning skills including query profiling, index design, and database performance tuning beyond ORM usage
- Observability 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
- Personally driven a complex project end-to-end
Nice to have
- Production experience with Go or Typescript (strongly preferred); otherwise strong systems programming skills in a comparable language
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and Kubernetes
Full 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 API Platform Team:
Owns the inference API responsible for delivering our AI services across the world while making sure it's reliable and capable to scale in tandem with our company's growing ambitions, as well as our analytical platform, billing and role-based controls that enable our users to monitor and control their usage with ease - be it as a solo developer or a large enterprise. You'll own our infrastructure, datastores, analytics, observability and CI/CD pipeline.
Responsibilities:
- Develop with observability in mind, identify bottlenecks and optimize for performance. When p99 latency climbs, you find the cause through query profiles and flame graphs instead of raising the alert threshold.
- Design the datastores and distributed systems behind the inference API, and keep them reliable as usage scales from a solo developer to a large enterprise.
- Build the billing, usage metering, and role-based controls that let users monitor and govern their own consumption. Catch correctness problems where a wrong number costs you trust.
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 plus