Brief Description
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
This role routinely uses standard office equipment. Ability to sit for long periods of time is essential.
Position Type and Expected Hours of Work
This is a full-time internship position. Days and hours of work are Monday through Friday. India-based interns are expected to maintain overlap with US Central Time operations (2:00 PM – 11:00 PM IST).
