About you

• 5+ years of software development experience; strong production Python (asyncio)
• 3+ years of hands-on ML/NLP experience with models shipped to production
• Practical experience with LLMs: prompt engineering, RAG, fine-tuning open-source models (LoRA/PEFT), working with both commercial APIs and self-hosted models
• Experience building model quality evaluation processes: metrics, eval datasets and pipelines, A/B testing
• Confidence with the PyTorch and Hugging Face ecosystem (transformers, datasets, PEFT)
• Proficiency in FastAPI for API development
• Strong SQL skills (MySQL or PostgreSQL), experience with ORM frameworks (preferably SQLAlchemy)
• Experience with unit testing (pytest)
• Upper-intermediate English or higher

It would be nice to have

• Experience serving open-source LLMs in production (vLLM, TGI, Triton) and working with GPU infrastructure
• Experience with vector databases (e.g. pgvector)
• Experience with agentic and orchestration frameworks (LangChain, LangGraph) and eval/observability tooling (MLflow, Langfuse)
• Experience with data processing pipelines and automation (e.g. Airflow, Prefect)
• Experience with cloud-based services (AWS), NoSQL databases (MongoDB), message brokers (RabbitMQ, Kafka)
• Classical ML/NLP background (text classification, clustering, topic modeling)
• Open-source contributions, publications, or pet ML projects you're proud of

Benefits we offer

• Full-time remote job. Though you're always welcome to spend time with us in monthly All hands in our hubs: Helsinki, Belgrade, Tbilisi, Batumi, Yerevan
• Paid Vacation and Sick leaves. Take the time you need to stay motivated, charged, and balanced. By prior agreement, you can have days off for special occasions
• Generous social benefits package including health insurance, equipment reimbursement, home office moderation bonus, and many more
• Stock options bonus according to the employee stock ownership plan
• You'll have executive-level visibility into how the company is run and performing. We are always ready to provide dedicated support and fast-track your onboarding, including giving you the tools you need to be successful.

Hiring process

1. HR screening interview — 15 min
2. Backend Technical interview — 90 min
3. ML Technical interview — 90 min
4. Culture fit interview — 60 min
5. Recommendations check Expected timeline: 2–4 weeks from application to offer.