Software Engineer (AI / Data Platform) –… at RedChip… · Remote

About the Role

We are building an AI-powered financial research platform focused on real-time insights from SEC filings, market data, and sector intelligence across mining, industrials, and beyond.

Our platform combines large-scale data pipelines, search infrastructure, and LLM-driven workflows to power an AI stock research assistant, internal analytics systems, and investor-facing tools.

We’re looking for a strong engineer who can own systems end-to-end from data ingestion to APIs to production deployment and help scale a live platform.

You’ll work directly with a high-impact team, with real ownership and the ability to influence technical direction.

What You’ll Do

• 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.

Required Skills

• 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

Nice to Have

• Exposure to financial data / SEC filings (EDGAR), metals and mining data
• Experience building analytics dashboards or internal tools

What We Look For

• Strong ownership mindset
• Ability to debug and solve problems independently
• Clean, maintainable, production-quality code
• Comfort working in a fast-moving, unstructured environment
• Clear communication in a remote team