Lead AI Engineer

Job not on LinkedIn

🔥 0 minutes ago

🏄 California, Colorado, +14 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🦀 Maryland – Remote ❄️ Minnesota – Remote 🔔 Pennsylvania – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote ⛰️ West Virginia – Remote

💵 $121k - $185k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

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Accurate Background

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1997

👥 HR Tech

☁️ SaaS

🤝 B2B

💰 Private Equity Round - Accurate Background on 2020-02

HR Tech • SaaS • B2B

Accurate Background is a global employment background screening provider that helps employers conduct pre-employment and ongoing screening. Accurate offers services such as criminal background checks, identity verification, drug and health screening, driving history, credit checks, I-9 & E-Verify, global searches, monitoring, and social media checks through a mobile-first platform, API, and integrations with applicant tracking systems. Founded in 1997 and minority-owned, Accurate serves over 16,000 customers worldwide, conducts 60M+ annual searches, supports multiple industries (healthcare, retail, transportation, staffing, financial services, gig marketplaces), and emphasizes compliance with global data and privacy regulations.

📋 Description

• Design, build, test, deploy, and maintain AI-enabled solutions, including AI agents, tools, and GenAI-powered applications • Establish foundational AI Center of Excellence standards, reusable patterns, and engineering guardrails • Contribute to an AI lab for experimentation, prototyping, evaluation, and rapid iteration • Define and implement AI Development Lifecycle practices covering 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 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

🎯 Requirements

• 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 such as AWS Bedrock, AWS AgentCore, Azure AI Foundry, and Azure OpenAI • Strong understanding of LLM/SLM model selection, RAG, prompt engineering and evaluation, agentic workflows, tool/function calling, embeddings and vector search, human-in-the-loop systems, and AI observability and monitoring • Experience with agent frameworks and orchestration tools such as LangGraph and Semantic Kernel • Experience with LLM ecosystems and providers such as OpenAI, Anthropic, Llama, and Mistral • Experience with vector databases and retrieval systems such as Pinecone and Azure AI Search • Experience with AG-UI, A2A, and MCP interoperability protocols, registries, and reusable service layers • Experience integrating APIs and enterprise systems into AI workflows • Solid understanding of microservices, APIs, and event-driven architecture patterns • Experience working in Agile/Scrum environments • Understanding of AI governance, responsible AI, and compliance considerations • Ability to translate business problems into AI solutions • Strong analytical and problem-solving skills • Strong collaboration and communication skills • Preferred: experience with AI Centers of Excellence, AI platforms, AI innovation teams, AI-DLC, Context Engineering, observability and evaluation tools, CI/CD, containerization, infrastructure automation, regulated environments, operational automation, customer experience, revenue-generating products, and AI governance frameworks such as ISO/IEC 42001 and NIST AI RMF

🏖️ Benefits

• Annual performance-based bonus, commission, or other variable pay plan may be available • Medical benefits • Dental benefits • 401k • Fun, fast-paced environment with lots of room for growth • Commitment to diversity and belonging