Senior Software Engineer - Ai-Augmented Development, Santa Rosa

Role: Senior Software Engineer – AI-Augmented SDLC
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
7+ 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, Claude 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