United States onlyWe are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers.
We’re looking for a confident QA Automation Engineer (Python) to join our AI team and focus on testing developer interfaces, applied AI solutions, and complex multi-agent scenarios. You’ll play a key role in ensuring the quality and reliability of our AI agents and developer-facing products in real-world business applications.
What We’re Building
We’re creating the IDE of the future — a smart development environment powered by cutting-edge LLM agents. It goes beyond just code: our platform helps developers generate images, sound, video, design, and interfaces.
This is an AI startup within a stable product company — the perfect combination of innovation and support. We’ve already built an MVP, have real internal users, and a team of skilled engineers. We're currently in internal testing and getting ready for production launch.
We operate in GMT+3, with daily team standups at 12:00 GMT+3.
Join us to build the next generation of software tools together!
Core Responsibilities
- Develop automated tests in Python for complex scenarios.
- Build mock services and test environments for agent testing.
- Integrate tests into AI-specific CI/CD pipelines.
- Monitor AI system performance in production.
- Design quality metrics and dashboards for AI monitoring.
- Document test scenarios and establish best practices.
Developer Interfaces Testing
- Test SDKs, APIs, and libraries used by developers.
- Validate API documentation and code samples.
- Build automation for dev tools and CLI utilities.
- Test integration workflows and compatibility with various languages/frameworks.
- Test IDE plugins and extensions.
- Validate data schemas and OpenAPI specifications.
Applied AI Testing
- Test real-world AI use cases and production scenarios.
- Validate model outputs on production data.
- Test AI data processing pipelines.
- Benchmark AI inference performance.
Agent Scenario Testing
- Design tests for multi-agent systems.
- Validate interactions between AI agents.
- Test task chains and agent workflows.
- Ensure behaviour constraints and safety.
- Test integration with external systems.
Requirements
- 3+ years in software testing.
- Strong Python knowledge: pytest, unittest, mock, asyncio.
- Experience testing UI, APIs and SDKs.
- Understanding of ML/AI agent concepts.
- Experience with REST/GraphQL APIs, WebSockets.
- Familiar with performance testing tools (e.g. locust, k6).
- Experience with Docker and containerization.
- Familiarity with CI/CD and DevOps practices.
- Git proficiency.
- English level: B1 or higher.
- Fluent in Russian (C2).
Nice to Have
- Understanding of multi-agent system architecture.
- Experience with agent frameworks (LangChain, AutoGen, CrewAI).
- Working with LLM APIs (OpenAI, Anthropic, local models).
- Knowledge of prompt engineering and LLM testing.
- Experience with vector databases (Pinecone, Weaviate, ChromaDB).
- Familiarity with async/event-driven testing.
Bonus Points
- Python development experience beyond testing.
- Familiarity with ML frameworks (TensorFlow, PyTorch, Hugging Face).
- Experience with cloud AI platforms (AWS Bedrock, Azure OpenAI).
- Understanding of RAG architectures.
What We Offer
- Full-time remote work (External Vendor contract).
- Competitive compensation (EUR, USD, or crypto).
- Flexible working hours.
- Influence over the architecture of AI testing systems.
- Access to cutting-edge AI tools and platforms.
- A team of professionals specializing in AI.
- Positive and friendly atmosphere.
Join us today, and let's shape the future of fintech together!
Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.
Zimbabwe
Belarus only
Armenia only
Kazakhstan only
