Short description

QR Datalab is developing a new generation AI agent for institutional investors. We are building a system where LLM agents autonomously analyze markets, generate investment ideas, and manage portfolios. We are looking for a Senior Full-Stack developer who will become the key technical architect of the product at the intersection of finance and cutting-edge AI.

Responsibilities

• Design and development of an LLM-based multi-agent system (Claude, GPT-4, o1) with tools for financial data analysis, strategy backtesting, and integration with exchange APIs • Building agentic workflows using LangGraph, CrewAI or similar frameworks for agent orchestration • Developing a full-stack architecture: backend (Python/FastAPI), frontend (React/Next.js), real-time dashboards for monitoring agents' decisions • Integration with financial data sources (Bloomberg API, SEC EDGAR, alternative data) and creation of data pipelines • Implementation of RAG (Retrieval-Augmented Generation) for working with financial statements, news, research reports • Optimization of promptings, fine-tuning of models, experiments with reasoning (chain-of-thought, tree-of-thought)

Requirements

• 5+ years of full-stack development experience, including at least 2 years of working with LLM in production • Deep understanding of the architecture of LLM agents: tool calling, function calling, multi-agent orchestration, memory systems • Practical experience with frameworks: LangChain/LangGraph, LlamaIndex, AutoGen, CrewAI or self-written solutions • Strong Python skills (async, typing, testing), experience with FastAPI/Django, PostgreSQL/Redis • Knowledge of modern frontend stack (React, TypeScript, TailwindCSS) and ability to create complex interactive interfaces • Experience working with vector databases (Pinecone, Weaviate, Qdrant) and embedding models • Understanding the basics of machine learning and fine-tuning LLM (optional, but a plus) • The ability to read and understand financial statements and metrics (P/E, ROIC, DCF) is a huge advantage • English — fluent reading of technical documentation

Conditions

• Competitive salary with equity opportunity (share in the company) • Remote work with flexible schedule or hybrid from the Astana Hub office • Direct work with the founder, minimum bureaucracy, quick solutions • Budget for API experiments (OpenAI, Anthropic, performance testing) • Access to premium financial data and research tools • The opportunity to create a world-class product and reach international institutional clients • Participation in AI and fintech conferences

Contact information

Email: akhmet.assyl@gmail.com
When responding, provide a link to GitHub / portfolio with examples of working with LLM agents.