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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Software Engineer - **Company:** Frontdoor - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $140,000.0 - $185,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Applications Architecture, Application Integration Architecture, Software Applications, C Sharp (Programming Language), Information Systems, Information Leak Prevention, Data Systems, Software Debugging, Desktop Computing, Distributed Systems, Python (Programming Language), Machine Learning, Software Safety, Software Engineering, Software Systems, Data Streaming, Strategies of Testing, TypeScript, Data Logging, Large Language Models, Prompt Engineering, AI Platforms, Kubernetes, Information Technology, Build Tools, Virtual Agents, Api Design, Golang - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/6a94962a-41a4-46ca-918d-1353fb6f8e31 ## About the Role * Strong software engineering experience with proficiency in one or more languages such as: * Python, JavaScript/TypeScript, Java, C#, Go, or similar * Experience building AI-driven applications using modern AI platforms or APIs * Ability to design and implement custom logic, tools, and integrations (not just out-of-the-box solutions) * Experience working with APIs, services, and distributed systems * Solid understanding of system design, application architecture, and software best practices * Strong problem-solving skills and ability to operate independently * Demonstrated flexibility and comfort working in fast-changing environments * Ability to balance rapid experimentation with production-quality engineering * Clear communicator who collaborates well across teams * Experience designing end-to-end AI systems , not just integrating APIs * Understanding of AI system risks , including prompt injection, hallucination, and data exposure * Experience with evaluation frameworks , testing strategies, or quality measurement for AI outputs * Familiarity with retrieval-based systems (RAG) and context management * Experience working in regulated or enterprise environments with security, compliance, or governance requirements is a plus. Preferred Skills: * Experience with LLM platforms and tooling (e.g., agents, function/tool calling, orchestration frameworks) * Familiarity with prompt engineering, evaluation, and AI safety patterns * Experience building AI copilots, chat systems, or intelligent automation * Knowledge of cloud platforms and deployment patterns * Experience working in agile or startup-style environments Physical Role Requirements : Be seated at a computer intermittently for up to eight hours a day. Move up to 10 pounds occasionally, by lifting, carrying, pushing, pulling, or otherwise repositioning objects. Sitting for long periods of time while using office equipment such as computers and phones. Repetitive motions using hands and digits; such as movement of wrists, hands and fingers while picking, pinching and typing during your normal working environment. Minimum Education, Licensure and Professional Certification requirements: Bachelor's degree required in Computer Science, Engineering, Information Systems, or related field Minimum Experience required (number of years necessary to perform role) : 5+ years of experience required in AI, machine learning, or prompt engineering, with demonstrated success in senior or lead roles ## Description Summary :We are looking for a highly capable Senior AI Software Engineer to design, build, and deploy production-grade AI-powered systems. This role focuses on applied AI, including large language models (LLMs), agent-based systems, reasoning workflows, and intelligent automation rather than traditional model training., The Senior AI Software Engineer will be responsible for architecting and implementing scalable, secure, and reliable AI solutions that integrate with real-world applications and data systems. The ideal candidate combines strong software engineering fundamentals with hands-on experience building AI-driven systems and understands how to move from experimentation to production while maintaining quality, safety, and performance., * Design and develop AI-powered applications and services * Build systems leveraging LLMs, AI agents, reasoning engines, and orchestration frameworks * Write clean, efficient, and maintainable custom code to support AI use cases * Integrate AI services with existing software systems, APIs, and data sources * Design prompts, workflows, tools, and guardrails for reliable AI behavior * Optimize AI systems for performance, scalability, cost, and reliability * Collaborate closely with product, design, and engineering teams to deliver end-to-end solutions * Debug and resolve complex issues across AI logic, application code, and infrastructure * Rapidly adapt to new AI capabilities, platforms, and evolving requirements * Define and implement evaluation strategies to measure AI system quality, accuracy, and reliability * Design systems that are resilient to prompt injection, data leakage, and misuse * Implement observability, logging, and feedback loops for continuous improvement of AI systems * Architect data flows and retrieval strategies (e.g., RAG, context management) to support AI applications ## Related Videos - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [Retooling and refactoring - an investment in people.](https://www.wearedevelopers.com/videos/371-retooling-and-refactoring-an-investment-in-people) - [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 - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Prompt Engineering is a Job of the Past](https://www.wearedevelopers.com/magazine/342-prompt-engineering-is-a-job-of-the-past) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer) - [Will AI replace Software Engineers?](https://www.wearedevelopers.com/magazine/340-will-ai-replace-software-engineers) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)