Software Engineering Lead - AI-Augmented Software ...

Role: Software Engineering Lead - AI-Augmented SDLC (Code Generation) Role OverviewWe are seeking experienced Software Engineers (Java or .NET) to join a forward-looking engineering team focused on AI-augmented SDLC. In this role, you will utilize Generative AI tools across the entire software development lifecycle"”from design and coding to testing and documentation"”while maintaining high standards of quality, security, and maintainability. This position is ideal for engineers who are adaptable, detail-oriented, and passionate about working at the intersection of modern software engineering and AI.Key ResponsibilitiesImplement AI-Augmented SDLC (Code Generation) for full-stack development Design, build, test, and maintain full-stack applications using AI assisted SDLC Generate clean, scalable, and maintainable code following best practices using AI assisted tools and agentsUtilize GenAI tools (e.g., GitHub Copilot, Cursor, Claude) to accelerate code generation, testing debugging, and documentationDefine clear prompts, task specifications, and acceptance criteria to effectively guide AI tools and agents for code generationTake full ownership of all code changes, including AI-generated code, ensuring proper review, testing, and validation prior to production releaseApply spec-driven development practices to structure and streamline implementationDesign and develop AI agents, including workflows, tool integrations, and orchestration logicReview and validate AI-generated outputs for correctness, security, and performanceApply sound engineering judgment to accept, refine, or reject AI-generated solutionsDevelop and enhance unit, integration, and regression tests using AI-assisted toolsEnsure sufficient test coverage before deploymentIdentify and address performance, reliability, and security issues early in the lifecycleRefactor and modernize existing applications using AI-assisted approaches to improve maintainability and performanceIdentify technical debt and drive remediation using AI-enabled strategiesParticipate in architecture discussions, design reviews, and code reviewsContribute to prompt engineering standards and AI development best practicesShare knowledge and continuously improve AI-enabled engineering processes across the teamRequired Qualifications8+ years of experience in software engineering with proficiency in Java or .NETStrong experience with AI augmented SDLC and practices Hands-on experience with GenAI development tools (e.g., GitHub Copilot, Cursor, or similar)Ability to review and validate AI-generated code for quality, security, and performanceUnderstanding of agentic workflows, AI-assisted development, and spec-driven code developmentExperience with prompt engineering and structured AI interactionsStrong foundation in computer science fundamentals (data structures, algorithms, system design, OOP, databases, networking, concurrency, and CI/CD)Bachelor's degree in Computer Science or related field (or equivalent experience)Preferred QualificationsExperience building AI agents using frameworks such as LangChain, AutoGen, CrewAI, or similarExperience with cloud platforms (AWS, Azure, or GCP)Familiarity with secure coding practices and application securityExperience modernizing legacy applicationsWhat Success Looks LikeDelivers features faster with improved quality using AI-assisted developmentDemonstrates strong ownership of both manually written and AI-generated codeContributes to advancing AI-driven engineering practices within the teamContinuously enhances skills in prompt engineering, agent development, and modern software engineering

Created: 2026-05-13