Full Stack Developer
About The Position
The Full Stack Developer applies AI-assisted development practices throughout the software development lifecycle and designs and develops agentic AI solutions that plan tasks, use approved tools and data, execute multi-step workflows, and adapt to changing conditions. The role collaborates with internal teams and stakeholders to architect, validate, and implement enterprise-ready solutions, and develops clean, testable React and C# .NET code, including unit tests. The developer evaluates AI-generated outputs for quality, security, performance, accessibility, and maintainability, and builds human oversight, monitoring, auditability, error handling, and fallback mechanisms into AI-driven solutions. The role partners with architecture, security, data, legal, risk, and business stakeholders to meet responsible AI, governance, and data-protection requirements. It develops proofs of concept to assess the feasibility, risk, and business value of AI-SDLC solutions, identifies and automates manual processes, and coaches developers and vendor partners on prompt engineering, agent design patterns, and responsible AI practices. The developer measures and documents solution quality, reliability, adoption, and value; maintains technical documentation; troubleshoots concurrent issues; and supports continuous improvement. This is an exempt position and may require hours exceeding a standard 40-hour work week. Occasional local and national travel within the U.S. may be required. Plante Moran’s “Workplace for Your Day” model emphasizes flexibility while maintaining a principally in-person approach; staff coordinate with their supervisor and team to determine their working environment each day. Applicants must be legally authorized to work in the United States without sponsorship, except qualified candidates bilingual in Japanese and English or Chinese and English.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, or a related field.
- At least 5 years of hands-on experience with modern web applications, enterprise application development platforms, and integrations.
- Experience with React, C# .NET, SQL, relational databases, and data models, along with strong coding, debugging, and troubleshooting practices.
- Hands-on experience using AI-assisted development tools such as GitHub Copilot or comparable technologies to improve quality and productivity.
- Experience applying agentic AI concepts across the SDLC, including planning, orchestration, tool use, contextual memory, grounding, human-in-the-loop controls, and multi-agent patterns.
- Experience integrating AI capabilities with APIs, enterprise data sources, cloud services, and business applications, and selecting use cases based on risk, complexity, reliability, and value.
- Ability to validate AI-generated code and responses using automated testing, evaluation frameworks, observability, security controls, and responsible AI principles.
- Solid understanding of design patterns, automated unit testing, CI/CD pipelines, pull-request code reviews, API testing tools, and proof-of-concept development.
- Excellent communication, presentation, and interpersonal skills, with the ability to articulate ideas quickly, clearly, and concisely.
- Legally authorized to work in the United States without sponsorship, except qualified candidates bilingual in Japanese and English or Chinese and English.
Nice To Haves
- Experience with JavaScript, CSS/SCSS, and REST APIs is desired.
- Experience with Azure App Service, Storage, Functions, Logic Apps, Queues, Cloud Services, and Containers is preferred.
Responsibilities
- Apply AI-assisted development practices across requirements, design, coding, testing, documentation, troubleshooting, and code review.
- Design and develop agentic AI solutions that plan tasks, use approved tools and data, execute multi-step workflows, and adapt to changing conditions.
- Collaborate with internal teams to architect, validate, and implement solutions aligned with requirements, enterprise standards, and established design patterns.
- Write clean, testable React and C# .NET code, including unit tests, and evaluate AI-generated outputs for quality, security, performance, accessibility, and maintainability.
- Build human oversight, monitoring, auditability, error handling, and fallback mechanisms into AI-driven solutions.
- Partner with architecture, security, data, legal, risk, and business stakeholders to meet responsible AI, governance, and data-protection requirements.
- Develop proof-of-concept applications to assess the feasibility, risk, and business value of innovative AI-SDLC solutions.
- Identify and automate administrative and manual processes using conventional automation, AI-assisted solutions, or agentic workflows.
- Coach developers and vendor partners on prompt engineering, AI-assisted development, agent design patterns, and responsible AI practices.
- Measure and document solution quality, reliability, adoption, and value; maintain technical documentation; troubleshoot concurrent issues; and support continuous improvement.
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- Disability insurance
- Life insurance
- Flexible Time Off
- Predetermined holidays
- 401(k) plan
- Flexible benefits plans
- Business-related travel expense, lodging, and meal reimbursement
- Pension plan for eligible administrative and paraprofessional staff
- Discretionary bonus plan for eligible staff
- Some contingent staff positions may elect health insurance and receive limited paid sick time
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
