Overview
HybridNeed to go to the office based on the client requirements.
60 - 80
Contract - Independent
Contract - 6 Month(s)
Unable to Provide Sponsorship
Skills
Next.js
Tailwind CSS
Python
FastAPI
LLM
RAG
React
Finance
Job Details
Responsibilities
- Own the full stack: Build and ship product features across frontend (Next.js, Tailwind) and backend (Python, FastAPI, OpenSearch).
- Implement core user flows: chat interface, contextual document viewer, and right-click actions tied to model reasoning.
- Design and develop backend services to handle agentic orchestration, RAG pipelines, caching, and telemetry for user interactions.
- Work closely with the founder (technical) to iterate fast based on user feedback.
- Lay technical foundations for analytics, logging, and future LLM fine-tuning workflows.
Who We Are Looking For - You re a builder with strong full stack chops and bonus points if you ve ever:
Built personal finance dashboards, screeners, or investment research tools
Followed earnings calls or explored financial filings out of curiosity
Wondered how to use LLMs to actually think about stocks, not just summarize them
We re especially excited about engineers who speak the language of investment analysts, or are eager to learn it you ll be building tools that help users explore financial data with the intuition of a human analyst.
Qualifications
Built personal finance dashboards, screeners, or investment research tools
Followed earnings calls or explored financial filings out of curiosity
Wondered how to use LLMs to actually think about stocks, not just summarize them
We re especially excited about engineers who speak the language of investment analysts, or are eager to learn it you ll be building tools that help users explore financial data with the intuition of a human analyst.
Qualifications
- Have 5+ years of experience in full stack development (senior engineer or equivalent skill level)
- Are fluent in Next.js, Tailwind CSS, and modern React patterns
- Know your way around Python, FastAPI, and working with OpenSearch or other search infra
- Have experience integrating LLMs (OpenAI, Claude, open-source) and working with vector search/RAG
- Value speed, ownership, and pragmatic code quality over over-engineering
- Thrive in ambiguity and are energized by building something from scratch
You ll be joining at the most exciting time as we iterate quickly towards product-market fit, where your code will directly shape the product, and your ideas will influence what we become. We re not just building another AI wrapper we re building a reasoning engine for the next generation of financial professionals.
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