ai engineer

Quadcode is a fintech company specializing in financial brokerage activities and the delivery of advanced financial products to a global clientele. The organization provides an internal trading platform as a Software-as-a-Service (SaaS) solution to other brokers.

• Design, build, and maintain LLM-powered features and pipelines for 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 and 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;
• Transform prototypes and proofs-of-concept into reliable, maintainable production services;
• Monitor and manage LLM cost, latency, and reliability trade-offs across pipelines;
• Collaborate with the AI Platform team on architecture, code review, and technical direction.

• Production LLM experience shipping live features using OpenAI, Anthropic, or on-premise/open-weight LLMs;
• Hands-on experience building multi-agent frameworks and working with MCP servers;
• Strong Python and software engineering fundamentals (2–4+ years) including REST APIs, SQL, Docker, git, and concurrency;
• Ability to take projects from prototype to maintainable production service;
• Practical LLM engineering skills including structured outputs, prompt evaluation, and cost-aware design;
• Fluent English (written and verbal);
• Nice to have: Prior experience 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, GPU infrastructure experience, experience with Kubernetes, Kubeflow, or Airflow, data analysis and statistics experience, experience with cloud platforms (AWS, GCP), Russian language proficiency.

• Hybrid work model in the Limassol office;
• Health insurance and mental health services;
• 13Th salary;
• 21 Vacation days per year;
• Catered lunches in the office;
• Tuition reimbursement for kindergartens and schools;
• Training and development opportunities;
• Onsite gym;
• Corporate events and workshops;
• Bonuses for special events.