Product Software Engineer - Agentic AI

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.