Software Engineer - Agentic Platform

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.

This is a full-stack engineering role where you’ll design and implement both backend and UI components for several features and capabilities within the AOS ecosystem. You’ll lead initiatives, partner heavily with the nCino Feature and Design teams, 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.

Location:

Wilmington, NC

• Support product refinement processes such as the creation of tickets and analysis for development work.
• Follow architectural decisions made by the team and understand the reasoning behind them.
• Engage in brainstorming sessions to propose innovative ideas and solutions.
• Be involved in proof-of-concept implementations and prototypes used to gather feedback and make informed decisions.
• Consider potential risks that might impact the solution.
• Express yourself clearly to both technical and non-technical audiences in written and verbal formats.
• Independently analyze, troubleshoot, break down complex tickets, and identify dependencies across teams and epics.
• Contribute to CI/CD processes including automated testing and enhancing the testing coverage of your product.
• Understand adoption and release barriers to entry for the product and technology.
• Support PM and 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.
• Analyze the adoption of products and understand how to improve the customer journey by applying solutions to address new enhancement requests.
• Play an active role in addressing system hygiene and mitigate future hygiene issues by consistently producing high‑quality code.
• Adhere to coding standards and stay up to date with the latest technology trends and best practices.
• Actively pursue continuous learning through technical training, code review feedback, and exploration of emerging trends.
• Independently handle complex tickets, actively collaborate with the team to drive continuous improvement.
• Participate actively in the code review process with attention to code quality, maintainability, and adherence to team standards.
• 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 user experience.
• Maintain awareness of emerging AI trends and best practices to inform continuous learning and innovation.

• Bachelor’s degree in computer science or a related field with 2+ years of experience, or equivalent combination of education and experience.
• Strong proficiency in React (hooks, component architecture, state management, and performance optimization).
• Experience with at least one programming language (e.g., Type Script, Python).
• Experience with relational or No
  
  SQL databases and writing queries.
• Practical experience developing and deploying applications on cloud platforms (AWS, GCP, or Azure), including managed services, CDK/SDK, CI/CD pipelines, and containerized environments (Docker basics).
• Experience with version control systems (Git) and collaboration workflows.
• Strong problem‑solving skills; able to work independently and in teams.
• Clear written and verbal communication with both technical and non‑technical audiences.

• Hands‑on experience building and shipping AI‑assisted product features, including integrating LLM APIs (e.g., Anthropic Claude, OpenAI, AWS Bedrock) or ML into production applications.
• Familiarity with event‑driven architecture or message…