Senior Backend, Applied AI Developer

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Bridgit

51 - 200 employees

Wasting hours using spreadsheets for your construction workforce planning? Meet Bridgit Bench - the #1 workforce planning software trusted by top ENR general contractors like Balfour Beatty, Rogers-O'Brien, Ryan Companies, Skanska, and more.

📋 Description

• As a Senior Backend Developer at Bridgit, you'll take ownership of designing, testing, and building new backend solutions, while also evolving and maintaining our existing systems. • You'll focus on creating scalable, reliable services that power real impact for construction teams. • This is a role for someone who wants to build at the intersection of solid backend engineering and applied AI - increasingly, the services you ship will incorporate LLM-powered capabilities, and we're looking for someone genuinely excited to explore how technologies like large language models can enhance both our product and our team's developer experience.

🎯 Requirements

• Proven backend expertise - 5+ years of hands-on experience building high-quality software, with strong command of C#, Go, or another modern backend language (and you're eager to learn our stack if needed) • System design chops - you're skilled in architecting and building scalable, distributed systems, and can clearly articulate your design decisions • Data-savvy mindset - extensive experience with SQL and/or NoSQL databases and an understanding of how to design for performance and reliability; bonus points for PostgreSQL or Redis experience • Product-driven and cross-functional - you thrive in collaborative, product-oriented environments and have actually deployed and maintained services in production • AI-assisted development habits - you regularly use tools like Cursor, Claude Code, or similar, and you're excited about the transformative potential of AI in software development • Curious and growth-minded - you stay current with the latest technologies and practices, share knowledge generously, and believe in growing stronger as a team • [Nice to have] Hands-on experience with applied AI and LLMs - you've built real things using Claude, OpenAI, or other major LLMs, not just experimented in a notebook • [Nice to have] Production LLM integration - you've designed backend systems that integrate LLM capabilities into production workflows

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