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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI-Native Software Engineer - **Company:** Ernst & Young LLP - **Location:** Dallas, TX, United States (Remote available) - **Experience:** Experienced - **Salary:** $112,300.0 - $185,400.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Application Release Automation, Automation of Tests, Microsoft Azure, Cloud Computing, Code Review, Continuous Integration, Data Structures, Software Debugging, DevOps, Scrum Methodology, Secure Coding, Software Engineering, Systems Integration, Test Data, Data Processing, Google Cloud, Generative AI, Backend, Integration Tests, Information Technology, Code Inspection, Graphql, Front End Software Development, Api Design, Code Restructuring, Software Version Control, Devsecops, Static Application Security Testing, Dynamic Application Security Testing - **Published:** June 26, 2026 - **Apply:** https://www.dice.com/job-detail/3451241e-0f9d-42cb-90c4-d3f01ef60828 ## About the Role * Strong foundation in software engineering: data structures, APIs, version control, code review and debugging. * Hands-on experience building web and/or cloud applications (front-end, back-end or full-stack). * Practical knowledge of automated testing and CI/CD; ability to improve quality through automation. * Comfort using AI tools (coding assistants, test generation, documentation) with disciplined validation and security awareness. * Curiosity, learning agility and the ability to explain technical concepts to non-technical stakeholders. Ideally, you'll also have * Experience with cloud-native development (Azure/AWS/Google Cloud Platform), containers and infrastructure-as-code concepts. * Familiarity with modern front-end frameworks and/or API design patterns (REST/GraphQL/event-driven). * Exposure to Responsible AI concepts (privacy, data handling, bias, model risk) and secure coding standards. * Experience building with or integrating GenAI capabilities (prompting, RAG patterns, embeddings, evals) is a plus., * Bachelor's degree in Computer Science, Engineering or a related discipline (or equivalent experience). * Typically 4+ years of professional software development experience (consulting or product teams). * Experience delivering in Agile teams and collaborating across product, design and QA. What we look for We're looking for people who are builders and problem solvers-team-oriented, client-focused and committed to quality. You bring a 'learn fast, ship responsibly' mindset, combine AI acceleration with sound engineering judgment, and help teams adopt new ways of working without compromising trust. ## Description You'll help build and modernize digital products and applications using an AI-first delivery approach. In this role, you'll pair traditional engineering fundamentals with AI tooling to accelerate design, coding, testing, documentation and release-while maintaining high quality, security and Responsible AI standards. You'll work in cross-functional squads (product, design, engineering, QA, DevOps) delivering outcomes for clients across industries. Your key responsibilities AI-native delivery (build) * Use AI coding assistants to generate, refactor and modernize code while applying secure-by-design practices and peer review discipline. * Translate user stories and acceptance criteria into working software with strong engineering fundamentals (readability, modularity, performance). * Create and maintain reusable components, templates and accelerators that improve team velocity and consistency. * Apply prompt patterns and structured context (docs, schemas, examples) to improve AI outputs and reduce rework. Quality engineering (test) * Use AI tools to draft unit/integration tests, contract tests and test data; validate coverage and edge cases with engineering judgment. * Implement automated QA in CI/CD (linting, SAST/DAST, dependency scanning, performance checks, test gates). * Support exploratory testing and defect triage; drive root-cause fixes rather than symptomatic patches. * Produce clear technical documentation and runbooks (including AI-assisted documentation) to support supportability and knowledge transfer. DevSecOps and observability (run) * Contribute to pipelines, environments and release automation; ensure builds are repeatable and auditable. * Instrument services for logs/metrics/traces; help define SLOs/SLIs and error budgets for critical paths. * Assist with incident response by using AI tools to summarize telemetry, propose hypotheses and accelerate remediation-under human oversight. Client and team collaboration * Collaborate with product owners and designers to turn intent into implementable technical plans. * Communicate progress, risks and tradeoffs; contribute to estimation and sprint planning. * Mentor junior teammates on AI-augmented engineering practices (prompting, validation, secure use of tools)., * The ability to work on transformative digital product builds with global clients. * A collaborative, inclusive culture with access to modern engineering platforms and AI-enabled delivery tools. * Career-long learning, certifications and coaching to grow both technical depth and consulting impact. * Flexible work options (subject to engagement needs). Responsible use of AI tools (non-negotiable) * Follow EY and client policies for data handling; do not enter confidential client data into non-approved tools. * Validate AI-generated outputs through testing, review and security checks; humans remain accountable for final deliverables. * Use AI to accelerate work-not to bypass controls, quality gates or professional judgment. ## Related Videos - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Meet Your New BFF: Backend to Frontend without the Duct Tape](https://www.wearedevelopers.com/videos/682-meet-your-new-bff-backend-to-frontend-without-the-duct-tape) - [Are We All Prompt Engineers? How AI Changed What It Means to Build Software](https://www.wearedevelopers.com/videos/1980-are-we-all-prompt-engineers-how-ai-changed-what-it-means-to-build-software) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)