Software Engineering​/Data Science Intern

Mortgage servicing runs on legacy systems. BSI is changing that — and we need engineers who can move fast. As a Software Engineering Intern, you will take a working proof-of-concept and push it to MVP, then work toward an enterprise-grade product. You will use vibe coding tools aggressively (Claude Code, Cursor, Git Hub Copilot), build with modern data stacks, and ship real features to production pipelines.

This is a hands‑on, build‑first role.

This is a summer internship. Strong performers may be considered for full‑time roles.

• Take product requirements or a PM-built POC and engineer a scalable, production‑quality MVP
• Build and iterate on user‑facing interfaces: web apps, dashboards, internal tools — using AI‑assisted coding tools throughout
• Develop and optimize data pipelines, ETL processes, and integrations on Databricks using dbt and Py Spark
• Build and refine AI agents to automate complex operational workflows
• Work closely with data engineers and analysts to ensure data quality, pipeline reliability, and model integration
• Collect rapid user feedback, iterate on UX, and push features through testing to production
• Document technical architecture, APIs, and data flows for handoff to full‑time engineering
• Participate in code reviews, sprint planning, and agile ceremonies

• Data & Pipelines:
  Databricks, PySpark, dbt, Azure Data Factory, SQL
• AI/ML:
  Python, LLM APIs (Anthropic, OpenAI), prompt engineering, agent frameworks
• Frontend/Internal Tools:
  React, Streamlit, Retool, v0, or equivalent
• Dev Tools:
  Git Hub, Azure Dev Ops, Jira, Claude Code, Cursor

• Currently pursuing a Bachelor’s (or Master’s) degree in Computer Science, Software Engineering, AI/ML, Data Science, or equivalent technical field
• Demonstrated technical portfolio:
  Git Hub repos with meaningful commits, a deployed project, hackathon work, or open‑source contributions
• Strong Python skills; experience with SQL and data manipulation
• Experience building and deploying something end‑to‑end — not just tutorials
• Fluency with AI coding tools (Claude Code, Copilot, Cursor) as a core part of your workflow
• Ability to debug independently and ship fast under ambiguity

• Experience with Databricks, PySpark, or dbt for data engineering
• Hands‑on experience building LLM‑powered applications or AI agents
• Frontend development experience (React, Type Script, or rapid prototyping tools)
• Exposure to cloud platforms (Azure, AWS, or GCP)
• Prior internship or project experience in fintech, banking, or enterprise software

This role routinely uses standard office equipment. Ability to sit for long periods of time is essential.

This is a full‑time internship position. Days and hours of work are Monday through Friday.