L
AI Engineer
Lever, Inc.
3 hours ago
Full-time
On-site
East New York, New York, United States
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.
#J-18808-Ljbffr
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.
#J-18808-Ljbffr