{"schemaVersion":"jobsearcher.job.v1","id":"ab7ca3d32e47ed62de59302a","url":"https://jobsearcher.com/jobs/ab7ca3d32e47ed62de59302a","canonicalUrl":"https://jobsearcher.com/jobs/ab7ca3d32e47ed62de59302a","title":"Software Engineer – AI-Augmented Software Development","description":"Job Description: Software Engineer – AI-Augmented Software DevelopmentRole Summary\r\nWe are seeking aSoftware Engineer – AI-Augmented Software Development,who can drive the next generation of software engineering by combining strong technical depth with expertise in GenAI, agentic workflows, and AI-augmented software development. This is not a traditional engineering role. We are looking for someone who can design and implement AI-driven software engineering process, establish best practices, and lead how AI is used across the SDLC—not just write code faster. You are expected to use AI as a force multiplier across the entire SDLC, including design, coding, testing, debugging, documentation, and production support.You will play a key role in defining how teams build, test, deploy, and operate software using AI, while ensuring quality, security, and scalability at an enterprise level.Locations:San Francisco, CA, Dallas, TX and Austin, TXKey Responsibilities\r\nDefine and implementAI-augmented software development process , including the use of GenAI tools, coding assistants, and agentic systems across development, testing, debugging, and documentation\r\nDesign and operationalizeagent-based software development processes , where multi-step engineering tasks (feature development, bug fixing, modernization) are executed through structured AI workflows\r\nDesign and development of scalable, secure software systems while actively contributing hands-on to architecture, coding, and critical problem-solving\r\nEstablish standards, guardrails, and best practices for AI-assisted development, including prompt design, validation frameworks, security constraints, and quality benchmarks\r\nBreak down complex engineering problems intostructured, AI-executable taskswith clear context, constraints, and validation criteria, enabling consistent and scalable AI-assisted delivery\r\nEffectively leverage AI by reviewing and validating outputs, identifying hallucinations, security risks, incomplete implementations, and architectural gaps before production use\r\nDrive improvements in engineering productivity and outcomes, defining and tracking metrics such ascycle time, defect rates, test coverage, and automation levelsRequired Qualifications\r\n6+ years of strong software engineering experience with deep expertise in system design, APIs, distributed systems, and cloud-native architecture\r\nHands-on experience with GenAI tools and platforms (e.g., GitHub Copilot, Cursor, OpenAI, Claude, Gemini, or similar), with a clear understanding of how to apply them effectively in software development workflows\r\nDemonstrated ability todesign and guide AI-assisted development , not just use AI tools passively\r\nProficiency in one or more languages such as Java, Python, JavaScript/TypeScript, or similar, with the ability to operate across the full stack when needed\r\nStrong experience with testing, CI/CD, DevOps practices, and production systems\r\nAbility to critically evaluate AI-generated outputs for correctness, security, and completenessPreferred Qualifications\r\nExperience building or implementingagentic software development workflows or AI-driven automation systems\r\nExperience modernizing legacy applications using AI-assisted approaches\r\nCloud experience (AWS, Azure, or GCP) and familiarity with enterprise-scale systems\r\nExposure to governance, security, and compliance considerations in enterprise environments\r\nPrior experience mentoring engineers or leading technical initiativesWhat Success Looks Like\r\nIn this role, success is not just measured by code delivered, but by how effectively you:\r\nDrive adoption of AI augment software development in a structured, measurable, and sustainable way\r\nEstablish scalableAI-driven software development practices & Processes\r\nEnable teams to significantly improve softwaredelivery speed and quality\r\nReduce manual effort throughautomation and intelligent workflows\r\nEnsure all AI-assisted software development outputs meetenterprise-grade coding standards","company":"Coreai Consulting","rawCompany":"coreai consulting","city":"Sonoma","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-24T01:13:10.862Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1253.00","title":"Software Quality Assurance Analysts and Testers","slug":"software-quality-assurance-analysts-and-testers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer – AI-Augmented Software Development","description":"Job Description: Software Engineer – AI-Augmented Software DevelopmentRole Summary\r\nWe are seeking aSoftware Engineer – AI-Augmented Software Development,who can drive the next generation of software engineering by combining strong technical depth with expertise in GenAI, agentic workflows, and AI-augmented software development. This is not a traditional engineering role. We are looking for someone who can design and implement AI-driven software engineering process, establish best practices, and lead how AI is used across the SDLC—not just write code faster. You are expected to use AI as a force multiplier across the entire SDLC, including design, coding, testing, debugging, documentation, and production support.You will play a key role in defining how teams build, test, deploy, and operate software using AI, while ensuring quality, security, and scalability at an enterprise level.Locations:San Francisco, CA, Dallas, TX and Austin, TXKey Responsibilities\r\nDefine and implementAI-augmented software development process , including the use of GenAI tools, coding assistants, and agentic systems across development, testing, debugging, and documentation\r\nDesign and operationalizeagent-based software development processes , where multi-step engineering tasks (feature development, bug fixing, modernization) are executed through structured AI workflows\r\nDesign and development of scalable, secure software systems while actively contributing hands-on to architecture, coding, and critical problem-solving\r\nEstablish standards, guardrails, and best practices for AI-assisted development, including prompt design, validation frameworks, security constraints, and quality benchmarks\r\nBreak down complex engineering problems intostructured, AI-executable taskswith clear context, constraints, and validation criteria, enabling consistent and scalable AI-assisted delivery\r\nEffectively leverage AI by reviewing and validating outputs, identifying hallucinations, security risks, incomplete implementations, and architectural gaps before production use\r\nDrive improvements in engineering productivity and outcomes, defining and tracking metrics such ascycle time, defect rates, test coverage, and automation levelsRequired Qualifications\r\n6+ years of strong software engineering experience with deep expertise in system design, APIs, distributed systems, and cloud-native architecture\r\nHands-on experience with GenAI tools and platforms (e.g., GitHub Copilot, Cursor, OpenAI, Claude, Gemini, or similar), with a clear understanding of how to apply them effectively in software development workflows\r\nDemonstrated ability todesign and guide AI-assisted development , not just use AI tools passively\r\nProficiency in one or more languages such as Java, Python, JavaScript/TypeScript, or similar, with the ability to operate across the full stack when needed\r\nStrong experience with testing, CI/CD, DevOps practices, and production systems\r\nAbility to critically evaluate AI-generated outputs for correctness, security, and completenessPreferred Qualifications\r\nExperience building or implementingagentic software development workflows or AI-driven automation systems\r\nExperience modernizing legacy applications using AI-assisted approaches\r\nCloud experience (AWS, Azure, or GCP) and familiarity with enterprise-scale systems\r\nExposure to governance, security, and compliance considerations in enterprise environments\r\nPrior experience mentoring engineers or leading technical initiativesWhat Success Looks Like\r\nIn this role, success is not just measured by code delivered, but by how effectively you:\r\nDrive adoption of AI augment software development in a structured, measurable, and sustainable way\r\nEstablish scalableAI-driven software development practices & Processes\r\nEnable teams to significantly improve softwaredelivery speed and quality\r\nReduce manual effort throughautomation and intelligent workflows\r\nEnsure all AI-assisted software development outputs meetenterprise-grade coding standards","datePosted":"2026-04-24T01:13:10.862Z","dateModified":"2026-04-24T01:13:10.862Z","hiringOrganization":{"@type":"Organization","name":"Coreai Consulting","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sonoma","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ab7ca3d32e47ed62de59302a"},"url":"https://jobsearcher.com/jobs/ab7ca3d32e47ed62de59302a"}}