Requirements:

• Production LLM experience: You've shipped real, live features using OpenAI and/or Anthropic APIs, or with on-premise/open-weight LLMs, not just experimentation or side projects
• Hands-on experience building multi-agent systems or workflows and working with MCP servers
• Strong Python & software engineering fundamentals (2–4+ years): REST APIs, SQL, Docker, git, and concurrency, with a demonstrated ability to take projects from prototype to maintainable production service
• Practical LLM engineering skills: Comfortable working with structured outputs, prompt evaluation, and cost-aware design decisions in real systems
• English fluency (written and verbal).

Nice to Have:

• Prior experience working in fintech
• Finance/markets knowledge: tickers, earnings, technical indicators, forex/CFDs
• Quant background
• Experience with model fine-tuning/training, RAG, or LLM optimization techniques
• Track record in Kaggle competitions focused on LLMs or multi-agent frameworks
• GPU infrastructure experience: provisioning GPU compute or serving open-weight models (e.g., Hugging Face inference)
• Experience with Kubernetes, Kubeflow, or Airflow
• Data analysis and statistics experience
• Experience with cloud platforms (AWS, GCP, etc.)
• Fluent Russian.

We know the combination of production LLM engineering and finance-domain knowledge is rare. If you're a strong AI/LLM engineer without a finance background, we still want to hear from you.

What we offer:

• Hybrid work model in our brand-new office in Limassol.
• Health insurance and mental health services.
• 13th salary and 21 vacation days per year.
• Sick leave without medical certificate: 3 days per quarter.
• Catered lunches in the office.
• Tuition reimbursement (kindergartens/schools).
• Onsite Gym.
• Corporate events and workshops.
• Bonuses for special events (e.g., child's birth).
• Birthday and anniversary gifts.
• Company-provided laptop.
• Corporate AI subscriptions (Claude, Gemini, GPT, etc.).
• Access to a rewards marketplace offering products and language courses, redeemable using the company’s internal currency.