Senior Software Engineer - Agentic Platform

Overview

nCino offers exciting career opportunities for individuals who want to join the worldwide leader in cloud banking. Join nCino's Intelligence Platform team and play a central role in building the agentic operating system powering the future of banking software. What started as a conversational AI interface has evolved into a full agentic platform. At the center of the transformation, this team has been building the platform that enables agents for both nCino's internal teams and its partner firms and customers.

This is an AWS-first engineering role where you'll design and implement agentic AI systems using services like AWS Bedrock and Agent Core, with Type Script and Python as your primary languages. You'll lead initiatives, partner on others, and rotate through the full spectrum of technical ownership across the team, from proof-of-concepts and high-level system design through shipping production-grade technology that banks and partner consulting firms will rely on.

Beyond the build you'll bring platform thinking to everything you do, helping teams across the organization adopt AI capabilities rather than reinvent them. The AI landscape moves fast and so does this team, so you'll need the technical depth to lead and the adaptability to pivot when the next capability changes the plan. This role is based onsite in Wilmington, NC, where the full Intelligence Platform team works together.

• Provide input on architectural decisions and guide team members around best practices.
• Incorporate automated tests into applicable tickets and mentor other members of the team on automation strategies.
• Lead brainstorming sessions and propose innovative ideas and solutions.
• Identify opportunities and lead proof‑of‑concepts to demonstrate key functionality or validate critical technical aspects.
• Consider scalability, maintainability, and best practices as the high‑level design of the solution takes shape.
• Identify potential risks and provide mitigation strategies.
• Help choose technologies and tools used for the project.
• Be a technologist with an understanding of a range of languages, frameworks, and tools.
• Consistently design code that is aligned with the overall service architecture.
• Keep abreast of developments in the field and introduce new approaches and technologies.
• Understand the data model and design of the product.
• Facilitate communication and collaboration inside and outside the team.
• Be heavily involved in automated testing and improve best practices and metrics.
• Understand adoption and release barriers to entry for the product and technology.
• Support PM and the team in developing a strategic launch and release plan with cross‑functional teams.
• Promote cross‑team collaboration focused on taking end‑to‑end solutions to market and supporting Go‑live activities.
• Help prioritize the system hygiene backlog, focusing on improving both the product and the developer experience.
• Mitigate the introduction of additional hygiene through code reviews, ensuring team members adhere to coding standards.
• Lead the management of software dependencies, stay informed about industry updates and trends to ensure version compatibility.
• Exhibit technical mastery and proficiency in multiple programming languages, frameworks, and tools relevant to our technology stack.
• Uphold the highest standards of code quality and follow industry best practices.
• Drive technical excellence, innovation, and deliver high‑quality software solutions.
• Define personal continuous learning plans and provide customized plans for junior members of the team.
• Demonstrate expertise in independently completing complex tickets, mentor team members, and facilitate effective communication and collaboration.
• Proficient understanding of ETL processes, data modeling and data integration techniques.
• Leverage AI tools and techniques to enhance software development activities, including code generation, testing, debugging, and optimization.
• Apply AI insights to identify patterns, automate repetitive tasks, and improve overall development efficiency and product quality.
• Evaluate and integrate AI/ML capabilities where appropriate to strengthen product functionality and…