Software Engineer (AI / Data Platform) – Contract/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

Originally posted on Himalayas