Full Time
3500
40
Mar 2, 2026
Role
Full-stack developer to build a financial data platform. The main feature will be an AI-powered financial chatbot. Users will be able to ask questions like, “What are Amazon’s cloud revenues for each of the last 5 years?” and the answer will show a chart and text. In addition to the chatbot, developer will build dashboards and pages showing how markets are trading through charts, tables, heatmaps, screeners, watchlists, etc. Work spans the full stack: backend (data pipelines, caching, database optimization), AI (LLM flows, RAG, prompt tuning), and frontend (js charting libraries and responsive UI). An early version of the watchlist, which will be one component of the final product, is live at
Chatbot Feature - What you’ll work on
Build data pipelines: ingest financial data from APIs ? parse and transform into structured formats ? store in PostgreSQL. Data includes structured data (financials, prices, earnings, analyst ratings) and unstructured documents (SEC filings, earnings call transcripts, investor presentations, etc.).
Build LLM pipelines: documents ? Embeddings (OpenAI) ? vector retrieval via pgvector (RAG) ? prompt construction ? answer generation ? validation (catch wrong numbers, dates, hallucinations).
Prompt engineering: tune prompts to improve accuracy, reduce hallucinations, and handle edge cases.
Charts: build visualizations for chat responses using Highcharts or similar.
Scale coverage: extend to thousands of US stocks.
Why charts matter
A major differentiator is how we present data visually within the chatbot. We’ll post charts on X and other platforms to grow our audience. If you’ve made data look beautiful with JS charting libraries, that’s a big plus.
Collaboration
Developer will work directly with the founder, who handles product direction and domain expertise (finance background, 10+ years investing/trading), while dev handles the technical execution.
Current tech stack
Frontend: React, Next.js (App Router), TypeScript, Tailwind CSS
Backend: Next.js Server Actions, API Routes
Database: Supabase (PostgreSQL + pgvector for embeddings)
AI/LLM: OpenAI API (incl. embeddings), prompt engineering, RAG patterns
Charts: Highcharts, TradingView Lightweight Charts, HTML5 Canvas
Data APIs: Financial Market API (FMP,
Required
Experience with React and TypeScript
Experience with Next.js
Experience with PostgreSQL
Understanding of REST APIs and data fetching patterns
Experience with OpenAI API or similar LLM integrations
Familiarity with vector databases and RAG patterns
Knowledge of real-time data patterns (WebSockets, polling)
Clean code practices and attention to detail
Great English and communication skills
Nice to have
Experience with financial data or fintech applications
Experience with JS charting libraries (Highcharts, Chart.js, D3, Recharts, TradingView Lightweight Charts, etc.)