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Software Engineering Lead - AI AugmentedCoreAi Consulting • San Francisco, California, United States
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Software Engineering Lead - AI Augmented

CoreAi Consulting
  • US
    San Francisco, California, United States
  • US
    San Francisco, California, United States
Jetzt Bewerben

Über

Role: Software Engineering Lead – AI-Augmented SDLC (Code Generation)
Role Overview We 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 Responsibilities
Implement 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 agents Utilize GenAI tools (e.g., GitHub Copilot, Cursor, Claude) to accelerate code generation, testing debugging, and documentation Define clear prompts, task specifications, and acceptance criteria to effectively guide AI tools and agents for code generation Take full ownership of all code changes, including AI-generated code, ensuring proper review, testing, and validation prior to production release Apply spec-driven development practices to structure and streamline implementation Design and develop AI agents, including workflows, tool integrations, and orchestration logic Review and validate AI-generated outputs for correctness, security, and performance Apply sound engineering judgment to accept, refine, or reject AI-generated solutions Develop and enhance unit, integration, and regression tests using AI-assisted tools Ensure sufficient test coverage before deployment Identify and address performance, reliability, and security issues early in the lifecycle Refactor and modernize existing applications using AI-assisted approaches to improve maintainability and performance Identify technical debt and drive remediation using AI-enabled strategies Participate in architecture discussions, design reviews, and code reviews Contribute to prompt engineering standards and AI development best practices Share knowledge and continuously improve AI-enabled engineering processes across the team
Required Qualifications
8+ years of experience in software engineering with proficiency in Java or .NET Strong 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 performance Understanding of agentic workflows, AI-assisted development, and spec-driven code development Experience with prompt engineering and structured AI interactions Strong 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 Qualifications
Experience building AI agents using frameworks such as LangChain, AutoGen, CrewAI, or similar Experience with cloud platforms (AWS, Azure, or GCP) Familiarity with secure coding practices and application security Experience modernizing legacy applications
What Success Looks Like
Delivers features faster with improved quality using AI-assisted development Demonstrates strong ownership of both manually written and AI-generated code Contributes to advancing AI-driven engineering practices within the team Continuously enhances skills in prompt engineering, agent development, and modern software engineering
  • San Francisco, California, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

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