AI Engineer

Tasks:

Design, build, and maintain LLM-powered features and pipelines for our generative AI products, including those handling financial and trading content
Develop and improve agentic systems and multi-agent workflows, including integrations using MCP (Model Context Protocol) servers/tooling
Write production-grade backend Python services on top of LLM provider APIs (OpenAI, Anthropic, xAI) and/or on-premise LLMs
Build and iterate on prompt engineering and prompt-evaluation pipelines, including structured output generation and validation
Take prototypes and proofs-of-concept and turn them into reliable, maintainable production services
Monitor and manage LLM cost, latency, and reliability trade-offs across pipelines
Collaborate closely with a small, senior AI Platform team on architecture, code review, and technical direction.

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.

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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.