What makes our platform strong

• Multi-Model AI approach — seamlessly working with multiple AI models for different scenarios.

• Multimodal environment — a unified workspace for code, design, images, audio, video, and documents.

• AI-first interface architecture — designed around AI workflows from the ground up, not retrofitted afterward.

• Proprietary RAG framework — handling large volumes of context and complex production-level tasks.

• Hybrid development approach — powerful AI automation combined with full manual control for engineers.

Our product has successfully passed the MVP and internal testing stages, has recently launched on the market, and we are continuing to test and improve it.

We work in the EET/EEST time zone, with a team daily meeting at 12:00 PM.

Join us to build the future of development together!

Tasks

Requirements

Python

• Minimum 3 years of commercial experience in Python backend development, preferably focused on platform engineering.
• Deep understanding of Python internals and interpreter mechanics, memory management, and execution model.
• Familiarity with GIL and practical ways to work around its limitations: multiprocessing, asyncio, C-extensions.
• Confident working with async/await and a solid understanding of the event loop.

Databases

• Strong SQL skills: complex queries, indexes, execution plans, and optimization.
• Practical experience with PostgreSQL: performance tuning, replication, partitioning.
• Understanding of connection pooling and experience with pgbouncer.

Architecture

• Experience designing scalable and highly available systems.
• Understanding of architectural patterns: CQRS, Event Sourcing, microservices.
• Experience with brokers and task queues: Celery, Redis, RabbitMQ.

DevOps

• Confident using Docker, Docker Swarm, and Kubernetes.
• Understanding of DevOps practices: IaC, monitoring, alerting, deployment automation.

Nice to have

• Experience developing IDEs, LSPs, or other language tooling.
• Familiarity with RAG systems and LLM APIs.
• Hands-on experience with RunPod or Vast.ai.
• Knowledge of C/C++ or Rust for performance-critical components.
• Experience working with GPU infrastructure.

We offer

• Full-time remote work (External Vendor contract) with flexible hours — work where and when you’re most productive.
• Competitive compensation (paid in EUR).
• Build a technically ambitious product that has real impact on the development market.
• Directly shape the architecture, engineering decisions, and evolution of the AI platform.
• Work with cutting-edge AI tools and GPU workloads.
• Collaborate with a team of passionate, AI-focused professionals.
• Enjoy a positive, friendly, and motivating environment that encourages experimentation.