AI Engineer

Quadcode is seeking an AI Engineer to join its AI Platform team. The role focuses on designing, building, and maintaining production generative AI pipelines and LLM-powered features, frequently involving financial and trading data.

Key Responsibilities

• Design, build, and maintain LLM-powered features and pipelines for generative AI products, including systems that process financial and trading content
• Develop and improve agentic systems and multi-agent workflows, including integrations via MCP (Model Context Protocol) servers and tooling
• Implement production-grade backend services in Python on top of LLM provider APIs such as OpenAI, Anthropic, and xAI, and/or on-premise LLM deployments
• Build and iterate on prompt engineering and prompt-evaluation pipelines, including structured output generation and validation
• Convert prototypes and proofs of concept into reliable, maintainable production services
• Monitor and manage trade-offs across LLM cost, latency, and reliability for end-to-end pipelines
• Work closely with a small, senior AI Platform team on architecture, code review, and technical direction

Requirements

• Production LLM experience: shipped real, live features using OpenAI and/or Anthropic APIs, or with on-premise/open-weight LLMs, not limited to experiments or side projects
• Multi-agent workflow experience: hands-on development of multi-agent systems or workflows and work with MCP servers
• Strong Python and software engineering foundations (2 to 4+ years), including REST APIs, SQL, Docker, git, and concurrency, plus demonstrated ability to move from prototype to maintainable production service
• Practical LLM engineering skills including structured outputs, prompt evaluation, and cost-aware design decisions in real environments
• English fluency in both written and verbal communication

Technologies

• Python
• OpenAI, Anthropic, xAI
• MCP (Model Context Protocol)
• REST APIs, SQL, Docker, git
• Open-weight LLMs, on-premise LLMs
• Kubernetes, Kubeflow, Airflow
• Hugging Face inference
• AWS, GCP

Location and Experience

Location: Georgia (hybrid). Minimum experience: 2 years.

Benefits

• Hybrid work model in a 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 with products and language courses, redeemable using the company’s internal currency

Nice to Have

• Prior experience working in fintech
• Finance and 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, including 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