Senior Full Stack Software Engineer
Cassidy
Posted: June 6, 2025
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Quick Summary
A highly autonomous engineer will be responsible for designing and implementing core features and infrastructure for Cassidy's AI assistant, working closely with the team to ensure seamless integration with the company's knowledge base.
Required Skills
Job Description
Company
Cassidy is a no-code platform that allows businesses to build custom AI assistants that automate complex multi-step workflows. By connecting to a company’s knowledge (docs, wikis, calls, etc.) and leveraging major AI models, Cassidy aims to be the “AI colleague” for every team—helping them work 100x faster without heavy engineering overhead.
About the role
We are seeking a highly autonomous engineer excited about owning the design and implementation of core features and infrastructure. Given the size of the team, you will be touching all parts of the stack.
What You’ll Do
• Build Intuitive Interfaces: Develop features across Node, React, and Postgres (TypeScript) so non-technical users can design AI automations with ease.
• Explore Advanced AI: Contribute to projects involving LLMs, Retrieval Augmented Generation (RAG), and AI agents—from research/prototyping to full production releases.
• Shape Core Architecture: Help refine our stack to handle growing data/usage needs, ensuring reliability and scalability.
• Iterate with Product & Design: Work in a tight loop—prototype, gather feedback, and deliver high-impact features efficiently.
Qualifications
• 5+ years of professional software development, with proven track record in scaling complex applications.
• Demonstrated startup experience—managing ambiguity, moving fast, wearing multiple hats.
• BA/BS in Computer Science or equivalent experience.
• In NYC ~4–5 days/week for close collaboration on a fast-moving product.
• Skilled in TypeScript, Node.js, React, relational databases (Postgres).
• Deep understanding of distributed systems design and operation (queues, caching, consistency, large data pipelines).
• Experience with information retrieval or recommendation systems (ranking/search at scale).
• Applied AI engineering experience (e.g. evaluating AI models, orchestrating multi-LLM pipelines, advanced RAG).
• Excellent collaboration and communication skills, with a curious, problem-solving mindset.
Nice to haves
• Systems-level thinking: balancing fast delivery with long-term maintainability.
• Startup background or a proven ability to thrive in high-autonomy environments.
Why Join Us
• High Impact & Autonomy: Shape the core product that blends AI + no-code for real enterprise workflows.
• Leading Edge of AI: Experiment with sophisticated AI paradigms, bridging them into user-friendly experiences.
• Competitive Salary + Equity: We’re a well-funded and fast-growing startup and we offer offer meaningful ownership and upside.
• High-Trust Culture: We’re transparent, quick to experiment, and heavily invested in each other’s growth.