Build the future of AI, with us

We are a small team moving fast on ambitious problems. If you care about performance, ownership, and shipping real systems, you will love it here.

We are moving fast. If a role clicks with you, just reach out.

Our stack

Engineering

Tools we build with every day, chosen for speed, reliability, and shipping real systems.

Databases & Storage

ClickHouseMeilisearchQdrantSurrealDBValkeySeaweedFSStarRocks

Languages & Formats

GoTypeScriptRustPythonProtobufJSON

Messaging & Streaming

NATSKafka

Infrastructure

DockerKubernetesREST API

Frontend

ReactTailwindNext.jsTanStack Start

ML Stack

TensorFlowPyTorchJAXHugging FaceONNXCUDA / TritonvLLM

Frontend / Backend

Systems Maker

Backend Engineer, AI Systems
Mid-SeniorOn-site · Prague

Build fast, reliable backend systems that power our local AI models and client deployments. You will own core infrastructure end-to-end, handle ambiguous problems, and ship performance-first services.

What you will do

  • •Design high-throughput services for AI workloads with minimal guidance.
  • •Own APIs from schema to production reliability.
  • •Optimize inference, data pipelines, and system efficiency.
  • •Build resilient service communication and failure handling.
  • •Make systems observable: metrics, logs, tracing.

Key requirements

  • •Strong backend experience in microservice architectures.
  • •Proficiency in TypeScript/Node, Go, Rust, C#, or Python.
  • •Experience with modern databases (Postgres, Mongo, Qdrant, ClickHouse).
  • •Solid Docker + Kubernetes know-how.
  • •Hands-on with NATS or RabbitMQ.
  • •REST API design, JWT/OAuth2 familiarity.
  • •Performance- and reliability-focused mindset.
  • •Comfort owning ambiguous problems end-to-end.
  • •Bonus: Protobufs or Next/React/Tailwind exposure.
Apply

Product Interface Maker

Frontend Engineer
Mid-LevelOn-site · Prague

Craft fast, elegant frontends for our AI products and client deployments. You will own UI features end-to-end and turn ambiguous product goals into polished experiences.

What you will do

  • •Build responsive UI components with React and Next.js.
  • •Ship production-ready interfaces with Tailwind CSS.
  • •Own frontend performance, accessibility, and UX polish.
  • •Collaborate closely with product and backend engineers.
  • •Turn rough ideas into clear, shippable UI.

Key requirements

  • •Strong React and TypeScript fundamentals.
  • •Experience with Next.js and Tailwind CSS.
  • •Good eye for UX and visual quality.
  • •Comfort owning ambiguous problems end-to-end.
  • •Bonus: familiarity with design systems or Figma.
Apply

AI / ML

Agent Runtime Architect

Agent Platform Engineer
SeniorOn-site · Prague

Own the runtime that powers our agents end-to-end. You will define the platform, make hard trade-offs, and ship systems that keep workflows fast and safe.

What you will do

  • •Build agent execution runtimes with strong isolation and observability.
  • •Design tool and connector interfaces for external systems.
  • •Implement scheduling, retries, and guardrails for long-running tasks.
  • •Ship performance improvements across orchestration and memory layers.
  • •Define platform primitives from fuzzy requirements.

Key requirements

  • •Experience building distributed systems or orchestration platforms.
  • •Strong TypeScript/Node, Go, or Rust background.
  • •Familiarity with event-driven systems, queues, or pub/sub.
  • •Comfort with profiling, benchmarking, and performance tuning.
  • •Security-first mindset around data access and isolation.
  • •Ownership mindset in ambiguous environments.
Apply

Model Performance Lead

Applied ML Engineer
Mid-SeniorOn-site · Prague

Ship model improvements that matter in production. You will own experiments end-to-end and push them into real client workflows.

What you will do

  • •Run experiments on fine-tuning, retrieval, and evaluation.
  • •Build tooling for model benchmarking and regression testing.
  • •Optimize inference performance and memory usage.
  • •Collaborate with engineers to ship model updates safely.
  • •Translate customer feedback into measurable model goals.

Key requirements

  • •Hands-on experience with LLMs and modern ML toolchains.
  • •Strong Python skills and familiarity with PyTorch or JAX.
  • •Experience with evaluation frameworks and dataset curation.
  • •Comfort deploying models to production environments.
  • •Clear communication of experimental results and trade-offs.
  • •Comfort owning ambiguous problems end-to-end.
Apply

ML Apprentice

Junior ML Engineer
JuniorOn-site · Prague

Work alongside senior engineers on model tuning, data pipelines, and client deployments. You will learn fast, take ownership of scoped projects, and grow into full stack ML work.

What you will do

  • •Assist with dataset preparation, evaluation, and analysis.
  • •Implement experiments and track results in a reproducible way.
  • •Help ship model updates and monitor quality in production.
  • •Build small tools and scripts that improve our workflows.
  • •Ask questions early and close feedback loops quickly.

Key requirements

  • •Solid Python fundamentals and basic ML knowledge.
  • •Familiarity with Git and reproducible workflows.
  • •Curiosity and ability to learn fast.
  • •Clear communication and ownership of tasks.
  • •Bonus: exposure to PyTorch, JAX, or data pipelines.
Apply

Not seeing your role?

We are always looking for exceptional engineers. Send a short intro and what you want to build with us.

Contact us