About the Role
We are looking for 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, the 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 stock-miner.com.
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
The 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, Polygon.io, etc.), SEC EDGAR
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
- Good 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.)Experience with JS charting libraries (Highcharts, Chart.js, D3, Recharts, TradingView Lightweight Charts, etc.)