Job Description
Our client is at the forefront of transforming how teams work through secure, enterprise-grade generative AI applications. They are developing and enhancing an advanced AI-powered assistant for internal use — enabling employees to harness AI safely within a protected environment.
The Full Stack Software Engineer III will help design, develop, and evolve the next-generation AI platform, driving innovation while ensuring scalability, security, and exceptional user experience. This role spans the full stack — from back-end integration to front-end interfaces — in close collaboration with product, design, and AI engineering teams.
What You’ll Do Design, develop, and enhance AI-enabled enterprise applications that boost productivity and collaboration. Build and optimize features using large language models, prompt engineering, and AI-assisted workflows. Write efficient, maintainable, and scalable code across database, middleware, and front-end layers. Develop low- to medium-complexity systems and components within larger architectures. Conduct code reviews; mentor and guide Level I and II engineers. Act as module-level design authority, ensuring adherence to architecture and security standards. Plan and execute unit testing; review and validate test plans from entry level engineers. Define and implement integration and performance testing strategies. Troubleshoot and resolve complex production issues; establish frameworks for reliability and observability. Provide advanced production support and drive continuous improvement in performance and user experience. Collaborate with AI engineers, data scientists, and product owners to deliver innovative solutions. Perform additional related duties as assigned.Bachelor’s degree in Engineering or related field.
7+ years of experience in software analysis, development, and support within mid-to-large corporate environments.
5+ years of experience with .NET, C#, SQL, and React/Angular.
5+ years designing and implementing systems for large-scale production applications.
2+ years with Microsoft Azure, M365, and enterprise cloud deployments.
1+ years developing GenAI applications and agentic workflows.
2+ years mentoring or leading entry level engineers.
2+ years managing Git/Azure DevOps repositories, CI/CD pipelines, and container registries.
Strong proficiency in full-cycle SDLC methodologies, tools, and practices.
Deep understanding of .NET architectures, database design, and software engineering principles.
Excellent communication skills; able to explain complex concepts to non-technical stakeholders.
Proven ability to translate business needs into technical requirements and system designs.
Skilled in process flow diagrams, requirements gathering, and fit/gap analysis.
Advanced SQL for complex queries and reports.
Experience managing multiple enterprise project plans and deliverables.
Demonstrated ability to mentor, support, and train others.
Strong ownership mindset with accountability for quality and delivery.
Growth-oriented, with a passion for innovation and continuous learning.
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