Our 12-week paid engineering and business internships pair high-performing students with principal architects across the USA, EU, and India. You will build and ship production software that runs under real enterprise loads.
Select an engineering or business track tailored to your career aspirations:
Build sub-millisecond RAM-only anomaly detection engines, schema validation modules, and streaming data pipelines using C++, Rust, Python, and SQL.
Engineer privacy-preserving multi-channel attribution models, SHA-256 telemetry hashing pipelines, and real-time ROAS reporting dashboards.
Work directly with Fraoula's growth executive team on enterprise RFPs, client technical proposals, competitive market research, and partner ops.
Draft high-impact technical whitepapers, architectural case studies, developer documentation, and benchmark breakdowns for enterprise decision-makers.
Paired directly with lead architects for weekly code reviews, career guidance, and architecture design discussions.
No synthetic exercises. Your code passes peer review and deploys directly to live enterprise production clusters.
Top-tier competitive monthly stipend matching industry benchmark standards for high-performing engineering talent.
High-performing interns are fast-tracked for full-time engineering and product management roles upon graduation.
Option to work remotely from anywhere in the USA, EU, or India, or hybrid from our engineering hubs.
Top-spec Apple Silicon M3/M4 Max MacBook provided for the entire duration of your internship program.
Set up developer environment, pair with your senior mentor, and complete security architecture orientation.
Design, write, and own a dedicated feature module or data pipeline component under direct mentorship.
Perform benchmark profiling, code reviews, schema validation, and deploy your code to live production.
Present your project outcomes to Fraoula executive leadership and receive full-time return offer evaluation.
Applications are evaluated on a rolling basis. Apply now for open internship roles across engineering, analytics, and business operations.
