In this role, you will design, develop and maintain full-stack applications, and build agentic AI solutions and partner with business stakeholders to translate operational needs into intelligent, scalable digital products. This is a hands-on role that blends modern AI engineering with traditional software development and direct support of the digital services function.
Key ResponsibilitiesAgentic AI Solution Development- Design, build, and deploy agentic AI solutions using Microsoft Copilot Studio, and other Agentic AI platforms (TBD).
- Apply AI fluency to identify opportunities where business processes can be automated or augmented through AI.
- Translate business workflows and user needs into AI-enabled solutions, including agent orchestration, prompt design, and integration with internal systems.
- Stay current with emerging capabilities across the broader AI ecosystem - including Microsoft Copilot Studio, Anthropic Claude, OpenAI (GPT), and other agentic LLM platforms - and recommend adoption where appropriate.
Application Development- Build and maintain applications using Microsoft .NET and C#.
- Develop responsive front-end interfaces using TypeScript and Angular.
- Implement scalable back-end services using Node.js.
- Write clean, maintainable, and well-documented code.
API Development & Integration- Design, build, and maintain RESTful APIs to support internal applications and third-party integrations.
- Ensure reliable, secure data exchange between Keypoint platforms and partner systems.
- Troubleshoot and optimize API performance.
Security & Code Quality- Follow secure coding practices and adhere to industry and regulatory standards.
- Participate in peer code reviews and contribute to engineering best practices.
- Proactively identify and remediate vulnerabilities.
Operational & Helpdesk Support- Provide mandatory support to the Digital Services team by resolving helpdesk tickets in a timely manner.
- Participate in a weekly on-call rotation, including triage and resolution of production issues outside business hours.
- Document issues, root causes, and resolutions to strengthen the team's knowledge base.
Collaboration & Problem Solving- Partner with business stakeholders, product owners, and other engineers to understand requirements and deliver solutions.
- Operate effectively when requirements are incomplete or ambiguous; ask the right questions and propose pragmatic solutions based on limited information.
- Communicate technical concepts clearly to both technical and non-technical audiences.
Required Qualifications- 5-7 years of professional software development experience.
- Bachelor's or Master's degree in Computer Science or a closely related field.
- Hands-on experience building Agentic AI solutions in Microsoft Copilot Studio or comparable agentic AI / low-code AI platforms.
- Familiarity with other leading agentic LLM platforms and models (e.g., Anthropic Claude, OpenAI GPT), including their APIs, capabilities, and practical trade-offs when selecting models for different use cases.
- Strong proficiency in Microsoft .NET and C#.
- Proven experience with TypeScript, Angular, and Node.js across the full stack.
- Experience designing, building, and integrating REST APIs.
- Working knowledge of secure coding practices (OWASP Top 10, authentication/authorization patterns, data handling).
- Strong analytical, problem-solving, and communication skills.
- Demonstrated ability to work independently, learn quickly, and deliver in a fast-paced environment.
- Strong teamwork and collaboration skills.
- Willingness to participate in a weekly on-call rotation and provide timely helpdesk support.
Preferred Qualifications- Experience in the financial services industry, ideally with credit unions or banks.
- Familiarity with financial services regulatory and compliance considerations (e.g., data privacy, audit, customer authentication).
- Experience with the broader Microsoft Azure ecosystem (Azure AI Services, Azure Functions, Azure DevOps).
- Experience with CI/CD pipelines and version control (Git).
Work ModelThis is a hybrid role based out of San Jose, CA. The successful candidate will be expected to work onsite 2 days per week and may work remotely the remaining days, subject to team needs and on-call responsibilities.
