Lead AI Engineer

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When you join Accurate Background , you’re an integral part of making every hire the start of a success story. Your contributions will help us fulfill our mission of advancing the background screening experience through visibility and insights, empowering our clients to make smarter, unbiased decisions. Job Description: Accurate Background is a fast-growing organization focused on providing employment background screening solutions and building trusted relationships with our clients. Accurate Background continues to exceed expectations by offering innovative background check and credentialing products. The Lead AI Engineer will play a key role in establishing and scaling Accurate Background ’s emerging AI capabilities as part of a new team focused on building reusable AI platforms, AI engineering standards, experimentation practices, and production-ready AI solutions. This role will help define and operationalize an enterprise grade AI Center of Excellence , including AI governance practices, AI lab experimentation, reusable agent and tool patterns, and scalable AI solution architectures. The Lead AI Engineer will help transform the traditional SDLC into an AI Development Lifecycle (AI-DLC), materially changing how solutions are designed, built, evaluated, deployed, and continuously improved. This role focuses on delivering AI-powered solutions that drive operational efficiency, improve experiences, and generate measurable business and revenue value. We offer a fun, fast-paced environment with significant opportunities for growth. Responsibilities Design, build, test, deploy, and maintain AI-enabled solutions including AI agents, tools, and GenAI-powered applications Establish foundational AI CoE standards, reusable patterns, and engineering guardrails. Contribute to development of an AI lab for experimentation, prototyping, evaluation, and rapid iteration Define and implement AI-DLC practices including experimentation, evaluation, governance, deployment, and monitoring Build reusable and scalable AI platforms, services, APIs, and orchestration patterns Identify and deliver AI use cases that drive operational efficiencies and business value Apply GenAI patterns such as RAG, prompt engineering, agent orchestration, tool calling, and human-in-the-loop workflows Develop AI agents, tool integrations, and orchestration workflows across enterprise systems Work with LLMs, SLMs, embeddings, vector search, and model APIs Create technical designs, reusable frameworks, and implementation standards Implement secure, observable, and maintainable Python-based AI services Establish and follow AI governance practices including responsible AI, data protection, and compliance Support build, deployment, monitoring, and troubleshooting of AI applications Develop evaluation frameworks, quality benchmarks, and feedback loops Partner with stakeholders to move AI ideas from concept through production and scale Mentor engineers on AI engineering practices and AI-native development Required Qualifications Bachelor's degree in computer science or equivalent experience 8+ years of cloud software engineering and/or AI engineering experience 8+ years of programming experience in Python Hands-on experience building AI-enabled applications, GenAI solutions, or AI agents. Experience with AWS and/or Azure, including AI-native PaaS cloud services (e.g., AWS Bedrock, AWS AgentCore, Azure AI Foundry, Azure OpenAI) Strong understanding of GenAI patterns: LLM/SLM model selection Retrieval-Augmented Generation (RAG) Prompt engineering and evaluation Agentic workflows Tool/function calling Embeddings and vector search Human-in-the-loop systems AI observability and monitoring Experience with agent frameworks and orchestration tools (LangGraph, Semantic Kernel etc.) Experience with LLM ecosystems and providers (OpenAI, Anthropic, Llama, Mistral, etc.) Experience with vector databases and retrieval systems (Pinecone, Azure AI Search, etc.) Experience with tool/agent AG-

加入Accurate Background后，你将成为让每一次招聘都成为成功故事开端的重要一员。你的贡献将帮助我们实现使命：通过可见性和洞察力推进背景筛查体验，赋能客户做出更明智、无偏见的决策。职位描述：Accurate Background是一家快速成长的组织，专注于提供就业背景筛查解决方案并与客户建立可信赖的关系。Accurate Background通过提供创新的背景调查和资质认证产品，持续超越期望。Lead AI Engineer将在建立和扩展Accurate Background新兴AI能力方面发挥关键作用，作为新团队的一员，专注于构建可复用的AI平台、AI工程标准、实验实践和生产就绪的AI解决方案。该角色将帮助定义和运营企业级AI卓越中心（AI Center of Excellence），包括AI治理实践、AI实验室实验、可复用的agent和工具模式，以及可扩展的AI解决方案架构。Lead AI Engineer将帮助将传统SDLC转变为AI开发生命周期（AI-DLC），实质性改变解决方案的设计、构建、评估、部署和持续改进方式。该角色专注于交付AI驱动的解决方案，以提升运营效率、改善体验并创造可衡量的业务和收入价值。我们提供有趣、快节奏的环境，并拥有显著的成长机会。职责：设计、构建、测试、部署和维护AI赋能的解决方案，包括AI agents、工具和GenAI驱动的应用。建立基础AI CoE标准、可复用模式和工程护栏。参与开发用于实验、原型设计、评估和快速迭代的AI实验室。定义并实施AI-DLC实践，包括实验、评估、治理、部署和监控。构建可复用且可扩展的AI平台、服务、API和编排模式。识别并交付推动运营效率和业务价值的AI用例。应用GenAI模式，如RAG、prompt engineering、agent编排、tool calling和human-in-the-loop工作流。跨企业系统开发AI agents、工具集成和编排工作流。使用LLMs、SLMs、embeddings、vector search和model APIs。创建技术设计、可复用框架和实施标准。实现安全、可观测且可维护的基于Python的AI服务。建立并遵循AI治理实践，包括responsible AI、数据保护和合规。支持AI应用的构建、部署、监控和故障排除。开发评估框架、质量基准和反馈闭环。与利益相关者合作，推动AI想法从概念走向生产并实现规模化。在AI工程实践和AI原生开发方面指导工程师。必备资格：计算机科学学士学位或同等经验。8年以上云软件工程和/或AI工程经验。8年以上Python编程经验。具有构建AI赋能应用、GenAI解决方案或AI agents的实操经验。具有AWS和/或Azure经验，包括AI原生PaaS云服务（例如AWS Bedrock、AWS AgentCore、Azure AI Foundry、Azure OpenAI）。对GenAI模式有深入理解：LLM/SLM模型选择；Retrieval-Augmented Generation（RAG）；Prompt engineering和评估；Agentic workflows；Tool/function calling；Embeddings和vector search；Human-in-the-loop系统；AI可观测性和监控。具有agent框架和编排工具经验（LangGraph、Semantic Kernel等）。具有LLM生态系统和提供商经验（OpenAI、Anthropic、Llama、Mistral等）。具有vector databases和检索系统经验（Pinecone、Azure AI Search等）。具有tool/agent AG-经验。

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