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, GitHub 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. 

What You'll Do 

• 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 PySpark 

• 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 

Tech Stack 

• 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: GitHub, Azure DevOps, Jira, Claude Code, Cursor 

Education and Experience 

Must Have 

• Currently pursuing a Bachelors (or Masters) degree in Computer Science, Software Engineering, AI/ML, Data Science, or equivalent technical field 

• Demonstrated technical portfolio: GitHub 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 

Preferred 

• Experience with Databricks, PySpark, or dbt for data engineering 

• Hands-on experience building LLM-powered applications or AI agents 

• Frontend development experience (React, TypeScript, or rapid prototyping tools) 

• Exposure to cloud platforms (Azure, AWS, or GCP) 

• Prior internship or project experience in fintech, banking, or enterprise software 

Work Environment