AI Engineer

Role Overview

Quadcode is seeking an AI Engineer to join their AI Platform team, which builds and operates generative AI pipelines powering fintech products. This is a production-focused engineering role where you'll design, build, and maintain LLM-powered features and systems that handle financial and trading data.

Key Responsibilities

• Design and build LLM-powered features and pipelines for generative AI products, including those handling financial and trading content

• Develop agentic systems and multi-agent workflows with 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 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 a small, senior AI Platform team on architecture, code review, and technical direction

Requirements

• Proven production LLM experience with shipped features using OpenAI, Anthropic APIs, or on-premise/open-weight LLMs

• Hands-on experience building multi-agent systems and working with MCP servers

• Strong Python and software engineering fundamentals (2–4+ years): REST APIs, SQL, Docker, git, and concurrency

• Practical LLM engineering skills including structured outputs, prompt evaluation, and cost-aware design decisions

• English fluency (written and verbal)

Nice to Have

Fintech experience, finance/markets knowledge, quant background, model fine-tuning experience, GPU infrastructure experience, Kubernetes/Airflow experience, and Russian fluency are all valued.