Senior/Staff Software Engineer in AI, Ironclad

• If you thrive at the intersection of AI and product, and enjoy solving real user problems with code, this role is for you
• Strong experience with TypeScript, React, Node.js, and backend service development
• 3–5+ years of experience building and maintaining scalable, production-grade systems
• Experience with cloud infrastructure (GCP preferred), Docker, and Kubernetes
• Familiarity with integrating AI/ML or LLM APIs into user-facing applications
• Proven ability to ship high-quality, user-tested software in a fast-paced environment
• Strong backend fundamentals—performance optimization, data modeling, observability
• Excellent communication and collaboration skills
• A product mindset and passion for crafting thoughtful, high-impact user experiences

Desirable

• We're looking for a Senior or Staff Software Engineer to help scale our AI capabilities and lead the development of product-facing applications powered by LLMs and ML capabilities
• In this role, you’ll play a central part in turning state-of-the-art AI into intuitive, reliable experiences that solve real problems for legal teams
• As a key member of the AI teams, you’ll work across the stack to design and ship user-facing features, build scalable systems that integrate with LLMs, and help shape the technical strategy behind Ironclad’s AI product surface
• You’ll collaborate closely with product managers and designers to prototype, test, and iterate quickly, and work directly with customers to gather feedback and validate impact
• Design and build full-stack applications that integrate AI/LLM capabilities into intuitive, performant user experiences
• Own and scale backend systems that support high-throughput, low-latency AI product features
• Collaborate closely with product managers, designers, and AI/ML engineers to turn ideas into working software
• Guide architectural decisions, mentor team members, and promote engineering best practices
• Evaluate and integrate emerging LLM technologies and APIs into the product surface where appropriate
• Drive data-informed product development by leveraging metrics and instrumentation
• Help grow the team through interviewing, mentoring, and knowledge sharing
• Contribute to a modern TypeScript-based codebase using agile and iterative development processes