RedChip Companies is building an AI-powered financial research platform that focuses on real-time insights from SEC filings and market data. They are looking for a strong engineer to own systems end-to-end, from data ingestion to APIs to production deployment, and help scale their live platform.
Responsibilities:
- Build and scale an AI-powered stock research assistant that processes SEC filings and financial data in real time
- Design and maintain data pipelines for ingesting and transforming large-scale financial datasets (EDGAR, market data, etc.)
- Develop backend systems and APIs powering search, analytics, and AI workflows
- Implement and optimize semantic search systems using embeddings and vector databases
- Build internal tools and dashboards for analytics, content performance, and investor insights
- Improve performance, reliability, and scalability across production systems
- Take ownership of features from design to implementation, deployment, monitoring
Requirements:
- Strong backend experience with Python (FastAPI or similar)
- Solid knowledge of SQL (Postgres/MySQL) and data modeling
- Experience building and maintaining production-grade APIs
- Hands-on experience with AWS (EC2, RDS, or similar services)
- Experience with data pipelines / ETL systems
- Good understanding of system design and scalable architectures
- Familiarity with vector databases (pgvector, Pinecone, Weaviate, etc.)
- Experience with LLM-based systems or AI applications
- Knowledge of Docker, CI/CD, or cloud deployments
- Exposure to financial data / SEC filings (EDGAR), metals and mining data
- Experience building analytics dashboards or internal tools