Sr. AI Software Engineer

frontdoor, Inc.•,

3d•$135,000 - $150,000

About The Position

Frontdoor is seeking a Senior AI Software Engineer to design, build, and deploy production-grade AI-powered systems. The role emphasizes applied AI—including large language models, agent-based systems, reasoning workflows, and intelligent automation—rather than traditional model training. The engineer will architect and implement scalable, secure, and reliable AI solutions integrated with real-world applications and data systems, taking solutions from experimentation through production while maintaining quality, safety, and performance.

Requirements

Strong software engineering experience and 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 rather than relying only on 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.
Flexibility and comfort working in fast-changing environments.
Ability to balance rapid experimentation with production-quality engineering.
Clear communication and effective cross-team collaboration.
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.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
At least 5 years of experience in AI, machine learning, or prompt engineering, with demonstrated success in senior or lead roles.

Nice To Haves

Experience working in regulated or enterprise environments with security, compliance, or governance requirements.
Experience with LLM platforms and tooling, such as agents, function/tool calling, and 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.

Responsibilities

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 with product, design, and engineering teams to deliver end-to-end solutions.
Debug and resolve complex issues across AI logic, application code, and infrastructure.
Adapt to new AI capabilities, platforms, and evolving requirements.
Define and implement evaluation strategies to measure AI system quality, accuracy, and reliability.
Design systems 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, such as RAG and context management, to support AI applications.