Software Engineer (AI / Data Platform) – Contract/Remote

About this role

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

Originally posted on Himalayas