We are seeking a skilled Backend Developer to help us grow. The role involves developing and maintaining internal LLM agent frameworks, ensuring system observability and reliability, and adapting the framework for specific customer use cases. Key requirements include 6+ years of production experience with Python and at least 2 years of hands-on experience with async Python.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
We are now expanding our team and are looking for a skilled, goal-oriented backend developer to help us grow. You'll work on services, APIs, databases, and integrations with external systems, collaborating closely with a small, hands-on, technically strong team that moves fast and makes decisions without unnecessary bureaucracy.
Requirements
- 6+ years of production experience with Python
- At least 2 years of hands-on experience with async Python (FastAPI, aiohttp, or similar frameworks) in production
- Ability to debug issues across service boundaries
- Comfortable working with partially defined tasks and evolving requirements
- Ready to work in a fast-changing, high-uncertainty environment
- Open to using AI tools in daily development and troubleshooting
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- experience with AI Tracing Tools like LangSmith
- Develop and maintain the internal LLM agent framework with focus on scalability, processing, and parallelism
- Ensure system observability and reliability using metrics, tracing and monitoring tools
- Adapt the framework for specific customer use cases and collaborate closely with ML/NLP teams
- Build and support automated LLM evaluation pipelines
- Design backend services using Python () and modern cloud-native architecture.
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- The team has built award-winning AI products for tech corporations: devices, voice assistants, products that are actually in the world
- Cutting-edge tech stack: Speech Technologies, NLP, Generative AI (LLMs, diffusion models), voice-first agentic architecture with privacy-first and on-premises deployment
- High engineering bar and real ownership: the team cares about what actually works in production, not what looks good in a demo, and you'll see the impact of your work directly
- Fast career progression: a senior-heavy team and a high volume of real problems means you grow faster than you would anywhere else
- Startup pace with enterprise stability: real clients, real revenue, no bureaucracy
- Fully remote across Europe
- 21 vacation days + public holidays + 5 sick days
- Private English lessons via Preply
- Company-paid subscriptions to top AI tools (ChatGPT, Claude, Cursor, and others)
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