AI Engineer

Lever, Inc.; Georgia; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Health insurance

13th salary

21 vacation days per year

Sick leave 3 days per quarter

Catered lunches in the office

Tuition reimbursement

Onsite Gym

Corporate events and workshops

Bonuses for special events

Birthday and anniversary gifts

Company-provided laptop

Corporate AI subscriptions

Rewards marketplace credits

Job summary

Quadcode is seeking an AI Engineer to join our AI Platform team in Limassol. You will design and maintain LLM-powered features and production-grade Python services, interfacing with OpenAI, Anthropic, and xAI APIs or on-premise models.

You will collaborate with a small, senior team to ship reliable pipelines, optimize costs, latency, and reliability, and help advance our fintech-focused AI product portfolio.

Qualifications

• Production LLM experience: shipped live features via OpenAI/Anthropic APIs or on-premise/open-weight LLMs.
• Hands-on experience building multi-agent systems or workflows and MCP servers.
• Strong Python & software engineering fundamentals (2–4+ years): REST APIs, SQL, Docker, git, and concurrency; ability to take prototypes to production.
• Practical LLM engineering: structured outputs, prompt evaluation, cost-aware design in real systems.
• English fluency (written and verbal).

Responsibilities

• 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 MCP server/tooling integrations.
• Write production-grade backend Python services on top of LLM provider APIs and on-premise LLMs.
• Build and iterate on prompt engineering and evaluation pipelines, including structured output generation and validation.
• Turn prototypes 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 and technical direction.

Skills

Production LLM experience

Multi-agent systems

Python development

REST APIs

SQL

Docker

Git

LLM engineering

English fluency

Tools

MCP servers

OpenAI API

Anthropic API

xAI

Kubernetes

Kubeflow

Airflow

GPU provisioning

Job description

About the Team

We areQuadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers.

We're looking for an AI Engineer to join our AI Platform team, which builds and operates the generative AI pipelines powering our products, many of which involve financial and trading data, terminology, and specifications. You'll join a small high-impact team where you'll have real ownership from day one.

You'll work across our broader AI-platform portfolio: prompting and prompt evaluation, agentic systems, MCP tooling, and evaluation pipelines: writing backend Python on top of LLM providers like OpenAI, Anthropic, and xAI. This is an applied engineering role focused on shipping and maintaining production LLM systems.

This role is hybrid, based in our Limassol office.

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.

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.
• CorporateAIsubscriptions (Claude, Gemini, GPT, etc.).
• Access to a rewards marketplace offering products and language courses, redeemable using the company’s internal currency.

With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark.

Note:All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.