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首席AI工程师

雇主

Accurate Background

地点

远程 · Remote · 美国

待遇

$USD 121,000 - USD 185,000 / annual

工作模式

远程

截止日期

1月8日

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岗位摘要

When you join Accurate Background, you’re an integral part of making every hire the start of a success story.

岗位职责

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-UI, A2A, MCP interoperability protocols, registries, and reusable service layers
Experience integrating APIs and enterprise systems into AI workflows
Solid understanding of modern architecture patterns (microservices, APIs, event-driven systems)
Experience working in Agile/Scrum environments
Understanding AI governance, responsible AI, and compliance considerations
Ability to translate business problems into AI solutions
Strong analytical and problem-solving skills
Self-starter with strong collaboration and communication skills
Preferred Qualifications
Experience building or contributing to an AI Center of Excellence, AI platform, or AI innovation team.
Experience defining or implementing an AI Development Lifecycle (AI-DLC).
Experience implementing structured Context Engineering practices for improving model reliability and consistency
Experience with observability and evaluation tools (OpenTelemetry, Datadog, CloudWatch, LangSmith etc.)
Experience with CI/CD, containerization, and infrastructure automation
Experience in regulated, compliance-driven environments
Experience delivering AI solutions for operational automation, customer experience, or revenue-generating products
Familiarity with AI governance frameworks (e.g., ISO/IEC 42001, NIST AI RMF)
AI Mindset
Balance rapid experimentation with disciplined engineering practices
Design for scalability, reusability, and governance from the start
Focus on measurable business outcomes and value creation
Embrace ambiguity and help define standards for emerging AI capabilities
Build systems with continuous evaluation, monitoring, and improvement
Apply responsible AI principles across all solutions
Working Conditions:
The company environment is dynamic and reflective of rapid growth
Friendly, helpful, open, and all inclusive
Fast paced with frequent changes
Sits and works at desk computer-keyboard for extended periods of time
Works with others
The annual base salary for this position ranges from $121,000 - $185,000. Pay will vary depending on job-related knowledge, skills, experience, and relevant education and training.This position may also be eligible for an annual performance-based bonus, commission, or other variable pay plan. The Company also offers a full range of benefits, including medical, dental, and 401k. Your recruiter can share more details about the specific compensation package during the hiring process.
The Accurate Way:
We offer a fun, fast-paced environment, with lots of room for growth. We have an unwavering commitment to diversity, ensuring everyone has a complete sense of belonging here. To do this, we follow four guiding principles – Take Ownership, Be Open, Stay Curious, Work as One – core values that dictate what we stand for, and how we behave.
Take ownership.
Be accountable for your actions, your team, and the company. Accept responsibility willingly, especially when it’s what’s best for our customers. Give others every reason to trust you, believe in you, and count on you. Rise to every occasion with your personal best.
Be open.
Be open to new ideas. Be inclusive of people and ways of doing things. Make yourself accessible and approachable, and communicate with genuineness, transparency, honesty, and respect. Embrace differences.
Stay curious.
Stay curious even as you move forward. Tirelessly ask questions and challenge the status quo in your pursuit of new ideas, ways to solve problems, and to continually grow and improve.
Work as one.
Work together to create the best customer and workplace experience. Put our customers and employees first—before individual or departmental agendas. Make sure they get the help they need to succeed.
Equal opportunities
Accurate is an equal-opportunity employer and is committed to hiring talented and qualified individuals with diverse backgrounds. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
Accurate will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws.
This posting is open for U.S.-based candidates who currently reside in the following states: AZ, CA, CO, DE, FL, GA, IL, KY, MD, MI, MN, NV, NH, NY, NC, OH, OK, PA, TN, TX, VA, WA, WV
Special Notice:
Accurate is aware of schemes involving fraudulent job postings/offers and/or individuals or entities claiming to be employees of Accurate. Those involved are offering fabricated employment opportunities to applicants, often asking for sensitive personal and financial information. If you believe you have been contacted by anyone misrepresenting themselves as an employee of Accurate, please contact .
- Please be advised that all legitimate correspondence from an Accurate employee will come from "@accurate.com" email accounts.
- Accurate will not interview candidates via text or email. Our interviews are conducted by recruiters and leaders via the phone, Zoom/Teams or in an in-person format.
- Accurate will never ask candidates to make any type of personal financial investment related to gaining employment with the Company.
Originally posted on Himalayas

申请条件

- 具备设计、构建、测试、部署和维护AI解决方案的经验,包括AI代理、工具和生成式AI应用
- 能够建立AI卓越中心的基础标准、可复用模式和工程护栏
- 有参与AI实验室开发的经验,包括实验、原型设计、评估和快速迭代
- 熟悉定义和实施AI开发生命周期实践,包括实验、评估、治理、部署和监控
- 具备领导和扩展企业级AI能力的能力
- 有将传统软件开发生命周期转型为AI开发生命周期的经验
- 能够交付AI驱动的解决方案,提升运营效率、改善体验并产生可衡量的业务和收入价值
- 具备在快节奏环境中工作的适应能力
- 有定义和运营企业级AI卓越中心的经验
- 熟悉AI治理实践、可复用代理和工具模式以及可扩展AI解决方案架构

雇主简介

Accurate Background 是一家提供就业背景筛查解决方案的公司,专注于通过创新背景调查和认证产品帮助客户做出更明智、无偏见的招聘决策。

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数据来源:Himalayas

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