Lead AI Engineer

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 APIsCreate 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 experience8+ years of cloud software engineering and/or AI engineering experience8+ 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 Agent Core, 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 systemsAI observability and monitoring

Experience with agent frameworks and orchestration tools (Lang Graph, 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…