
11 - 50 employees
Founded 1992
💸 Finance
📱 Media
🤝 B2B
Finance • Media • B2B
RedChip Companies is an investor-relations and financial media firm focused on small-cap public companies. The company’s website and services emphasize investor relations, digital IR, TV and media production, education (newsletters, podcasts), CEO interviews, events, and support for companies looking to go public. RedChip curates a small-cap stock universe and provides marketing/IR services and media channels aimed at connecting small-cap issuers with investors.
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11 - 50 employees
Founded 1992
💸 Finance
📱 Media
🤝 B2B
Finance • Media • B2B
RedChip Companies is an investor-relations and financial media firm focused on small-cap public companies. The company’s website and services emphasize investor relations, digital IR, TV and media production, education (newsletters, podcasts), CEO interviews, events, and support for companies looking to go public. RedChip curates a small-cap stock universe and provides marketing/IR services and media channels aimed at connecting small-cap issuers with investors.
• 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.
• 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
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