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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Software Engineer - Agentic Development & Tooling - **Company:** Ryde Technologies, LLC - **Location:** United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Systems Engineering, Code Generation, Code Review, Continuous Integration, Programming Tools, Integrated Development Environments, Software Product Management, Software Engineering, Systems Integration, Data Processing, Information Technology, Codebase, Software Coding, Software Version Control - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/f931355d-0c32-43be-be37-a38f6855498a ## About the Role * Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience) * 2+ years of professional software engineering experience * Hands-on experience with AI-assisted development tools and workflows ## Description This position requires strong hands-on engineering experience, combined with a deep understanding of AI-assisted development tools and workflows. You will partner closely with engineering, product, and security teams to improve internal productivity and support the delivery of AI-enabled product capabilities., Agentic Development Environment * Design and maintain secure, isolated development environments that enable AI agents to safely execute tasks such as running builds, executing tests, and analyzing results * Ensure environments meet strict regulatory, security, and data handling requirements AI Tooling & Integrations * Build and maintain integrations that connect AI agents to core engineering systems, including source control, work management tools, CI/CD pipelines, and observability platforms * Design and implement Model Context Protocol (MCP) or similar integrations to enable seamless agent interaction with internal systems Documentation & Context Engineering * Develop and maintain agent-readable documentation (e.g., repository guidance files) that clearly communicate architecture, coding standards, and domain knowledge * Partner with engineering teams to ensure systems and codebases are structured in ways that are accessible to both humans and AI agents Agent Skills & Libraries * Create and manage reusable libraries of agent skills, prompts, and workflows for common engineering tasks such as code generation, testing, code review, and documentation * Continuously refine agent performance through improved prompts, context, and orchestration patterns Engineering Enablement * Collaborate with engineers, QA, product managers, and other stakeholders to identify friction points in AI-assisted workflows * Improve tooling, documentation, and processes to increase adoption and effectiveness of AI-assisted development * Enable non-engineering stakeholders to safely contribute through structured, AI-supported workflows AI Product Integration * Support the integration of AI capabilities into customer-facing applications, ensuring solutions are secure, observable, and aligned with responsible AI practices Responsible AI & Governance * Implement guardrails, validation frameworks, and review processes to ensure AI-generated outputs meet quality, security, accessibility, and compliance standards * Support adherence to applicable regulatory and industry standards Continuous Innovation * Stay current with emerging AI development tools, frameworks, and best practices * Evaluate and pilot new technologies that improve engineering productivity and product capabilities Metrics & Optimization * Define and track metrics related to AI-assisted development effectiveness (e.g., productivity gains, defect rates, task success rates) * Use data to drive continuous improvement ## Related Videos - [Developer Productivity Using AI Tools and Services - Ryan J Salva](https://www.wearedevelopers.com/videos/1339-developer-productivity-using-ai-tools-and-services-ryan-j-salva) - [Getting to Know Your Legacy (System) with AI-Driven Software Archeology](https://www.wearedevelopers.com/videos/1437-getting-to-know-your-legacy-system-with-ai-driven-software-archeology) - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Why your codebase lies to AI?](https://www.wearedevelopers.com/videos/100281-why-your-codebase-lies-to-ai) ## Related Articles - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Top AI Tools for Developers in 2025](https://www.wearedevelopers.com/magazine/560-top-ai-tools-for-developers-in-2025) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)