Product Software Engineer – Full Stack | .NET | Angular | – AI Solutions

Responsibilities:

• Design, develop, test, debug, implement, and maintain software solutions with guidance from senior engineers and architects.
• Develop secure, scalable, and maintainable software that meets business and technical requirements.
• Build and enhance AI-powered application features using LLMs, prompt engineering, retrieval-based approaches, and workflow automation techniques.
• Develop and integrate APIs, application services, and cloud-based components.
• Participate in the implementation of agentic AI solutions and intelligent workflows under established architectural guidance.
• Assist in the development and enhancement of AI-powered workflows, including prompt-based solutions, retrieval systems, and agentic capabilities.
• Develop and support integrations between AI services, APIs, business rules, and application components.
• Participate in testing and validation activities to help improve the accuracy, reliability, and quality of AI-enabled features.
• Troubleshoot and resolve application defects, AI workflow issues, and production incidents.
• Optimize applications for performance, scalability, reliability, and maintainability.
• Follow development best practices, coding standards, secure coding guidelines, and established engineering processes.
• Create and maintain unit tests, integration tests, and validation mechanisms to ensure software quality.
• Participate in code reviews, design discussions, and technical documentation activities.
• Collaborate with Product Owners, Business Analysts, Architects, QA, DevOps, Security, and cross-functional teams to understand business requirements and deliver quality solutions.
• Support CI/CD pipelines, deployment activities, release readiness, and production monitoring using Azure DevOps and related tooling.
• Build solutions with enterprise SaaS expectations in mind, including security, compliance, data privacy, observability, and supportability.
• Identify technical risks and communicate concerns to team members and stakeholders.
• Continuously learn and apply emerging technologies, particularly Generative AI, Azure cloud services, AI-assisted development tools, and modern software engineering practices.
• Perform other duties as assigned by management.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field, or an equivalent combination of education and experience.
• 2–5 years of professional software development experience.
• 2+ years of experience developing applications using C# and.NET.
• Experience building web applications, APIs, and cloud-based solutions.
• Exposure to Generative AI technologies, AI-enabled applications, or AI-assisted development tools is preferred.
• Understanding of software engineering fundamentals including application design, testing, debugging, and performance optimization.
• Understanding of REST APIs, microservices, and cloud services.
• Familiarity with Microsoft Azure cloud technologies.
• Understanding of secure software development practices, authentication, authorization, and data privacy principles.
• Experience working within an Agile software development lifecycle.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to learn new technologies and adapt in a fast-paced environment.
• Excellent written and verbal communication skills.
• Knowledge of the U.S. tax or accounting domain is a plus.
• #LI-Hybrid

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