[Hiring] Lead AI Engineer @Accurate Background

Role Description

Accurate Background is a fast-growing organization focused on providing employment background screening solutions and building trusted relationships with our clients. 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
• 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

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)

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

Compensation

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.

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

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.