Senior Software Engineer – Agentic SDLC

# Senior Software Engineer – Agentic SDLCCoreAi Consulting Full Time senior San Francisco, California, USPosted Yesterday##

Role Overview Core Ai  Consulting is hiring a Senior Software Engineer – Agentic SDLC. This is a full-time role in San Francisco, California. Part of Core Ai Consulting's Lifecycle hiring, posted yesterday. Full responsibilities, required qualifications, and the apply link are listed in the description below.## Salary Context Salary is not disclosed in this posting. Market median for Senior-level Lifecycle roles is $144k-$190k (based on 144 comparable listings).

Many employers share specifics during the interview process or after an initial screen.## Resume Keywords to Include Make sure these keywords appear in your resume to improve ATS scoring

JavaAWSGCPAzure Git Hub CI/CDOREngineer

Sign up free to auto-tailor your resume with all these keywords and get a higher ATS score## Job description

Role:
Senior Software Engineer – AI-Augmented (Agentic) SDLCRole 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., Git Hub 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., Git Hub 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 Lang Chain, Auto Gen, 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
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