Product Engineering Intern

About the Role

SHELTR is an in-house product at a Bengaluru-based architecture firm, focusing on project tasks, relationships, time, finances, communications, and operational workflows. This internship is positioned at the intersection of artificial intelligence, architecture, and digital infrastructure. The goal is to explore how reliable software and AI infrastructure can empower architects in core practice activities like project coordination, commercial decision-making, and knowledge/resource management. SHELTR is an internal system, and the intern will help validate problems for potential scalability as products by working with day-to-day practice software.

The Role

We are seeking applications for the Product Engineering Intern - AI, Architecture & Infrastructure. This role involves studying workflows in architecture and engineering practices to drive product improvements. It requires a blend of full-stack development, AI, automation, data modeling, software infrastructure, and understanding the operations of mission-critical software systems. The focus is on judiciously applying AI, understanding when it's appropriate for a feature versus other approaches.

What You Will Explore

• Applying AI to architecture and engineering practices
• Developing evidence-linked, human-reviewed AI systems
• Connecting project communication, decisions, tasks, time, and fees
• Creating reliable APIs, automation, and operational tooling
• Managing permissions, provenance, and audit trails
• Assessing the outputs of AI for utility, accuracy, and risk
• Understanding how digital infrastructure supports architecture practices
• Translating domain knowledge of architects into working software

Requirements & Tech Stack

Skills in

• Full-stack development
• AI
• Automation
• Data modeling
• Software infrastructure
• Operations of mission-critical software systems

Qualifications

• Ability to develop a sense for the role of AI in features and when to use alternative approaches.
• Understanding of how to connect project communication, decisions, tasks, time, and fees.
• Familiarity with creating reliable APIs, automation, and operational tooling.
• Knowledge of managing permissions, provenance, and audit trails.
• Capability to assess the outputs of AI for utility, accuracy, and risk.
• Understanding of how digital infrastructure supports architecture practices.
• Aptitude for translating domain knowledge of architects into working software.

Internship Details:

• Location: Bengaluru / Hybrid
• Duration: 12 weeks
• Type: Paid Internship
• Reports to: Engineering Lead and Principal Architect