Kotlin Desktop Engineer - AI Inference Tooling

We are #VLteam - tech enthusiasts constantly striving for growth. The team is our foundation, that's why we care the most about the friendly atmosphere, a lot of self-development opportunities and good working conditions (yes, that also means attractive salaries). Trust and autonomy are two essential qualities that drive our performance. We simply believe in the idea of ​​“measuring outcomes, not hours”. Join us & see for yourself!

We're looking for an engineer to join a small, startup-like team building a desktop tool for local AI inference. You'll work with Kotlin and Compose Desktop to create an application that deploys, configures and manages AI models running on local devices - think NVIDIA Spark, Claude Code, and Codex connected to locally hosted models.

Your daily work will include building the UI in Compose Desktop, integrating with backend REST APIs for model deployment, and setting up agent configurations through TOML/JSON/YAML files. You'll also work on LLM proxy routing and create installers for Windows, macOS and Linux.

The team already has an internal MVP and talks directly with potential users. We're on the road to making it open source. If you want to shape a developer tool from the early stages, this is it.

Requirements

Kotlin Desktop Engineer - AI Inference Tooling (Senior)

Details : Kotlin Desktop Engineer - AI Inference Tooling (Senior/Staff) - Careers VirtusLab

Required skills:

Kotlin - Advanced

Kotlinx.coroutines / concurrent programming - Advanced

Compose Desktop (Jetpack Compose)- Regular

REST API integration- Regular

English - Advanced

What we expect in general

• Strong Kotlin skills and genuine interest in Compose Desktop as a UI framework

• Understanding of asynchronous and concurrent programming with Kotlin Coroutines

• Awareness of cross-platform differences (file paths, OS-specific packaging)

• Engineering pragmatism: cutting complexity while keeping the system extensible

• System-level thinking: understanding how UI, backend APIs, agent configs and proxy layers fit together

• Hands-on experience using LLMs daily, with the judgement to know when they help and when they don't

• Fluency in English, with good communication skills for a remote-first team

• Self-motivation and ability to take full ownership of features end-to-end

Nice to have

• Experience with different LLM agents and their configurations

• Experience with mitmproxy or similar HTTP traffic inspection tools

• Experience with LLM proxy layers such as LiteLLM or Openrouter

• Experience creating and signing OS installers (MSI, DEB, DMG)

Originally posted on Himalayas