AI Engineer, Operations

**About Checkr**Checkr is building the data platform to power safe and fair decisions. Established in 2014, Checkr’s innovative technology and robust data platform help customers assess risk and ensure safety and compliance to build trusted workplaces and communities. Checkr has over 100,000 customers including DoorDash, Coinbase, Lyft, Instacart, and Airtable.

We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company.

About the Role

We're looking for an exceptional AI Engineer for Operations who will architect, build, and refine the intelligent systems that power Checkr’s AI-driven operations. In this role, you'll be the technical expert responsible for designing the integrations, workflows, and data structures that enable AI Agents and automation to operate reliably at scale.

You’ll work across system integration, workflow orchestration, application logic, data transformation, AI guardrails, and multi-platform automation—translating leadership’s strategic direction into high-quality technical execution. You’ll own complex, high-impact projects end-to-end, serve as a technical authority across teams, and develop robust systems that materially improve operational efficiency and AI performance.

What You’ll Own

AI Agent Integration & Automation Architecture

• Design and own the integration architecture that enables AI Agents to operate safely and reliably across Checkr systems and third-party platforms.
• Build production-grade API integrations with secure authentication flows, webhook and event-driven patterns, and robust automation workflows that coordinate actions across tools like Zendesk, Salesforce, and internal services.
• Ensure AI-driven operations are resilient through strong error handling, retries, observability, and fallback mechanisms.
• Proactively identify integration gaps, system bottlenecks, and failure modes, and lead the technical solutions that improve reliability and scale.

Systems Engineering & Data Foundations

• Build and maintain the technical foundations that power AI-driven workflows, including structured data pipelines, normalized schemas, and predictable JSON inputs for LLMs. 
• Write high-quality JavaScript and SQL to support automation logic, internal tooling, and operational insights.
• Establish engineering standards for workflow design, code quality, and system observability. 
• Communicate architecture clearly through documentation and diagrams, and serve as a technical authority across teams to ensure consistent, high-quality execution.

AI Quality, Safety & Guardrails

• Implement guardrails, validation rules, and safety checks that ensure AI Agents act responsibly and accurately in production. 
• Evaluate model output quality and continuously refine prompts, transformations, and logic to improve consistency, reliability, and trust in AI-driven decisions.

What You Bring

Required Experience

• 5-7+ years in systems engineering, automation platforms, integration architecture, or AI-enabled operations
• Experience in API design, OAuth/token-based authentication, webhooks, and event-driven systems
• Proven experience building reliable automation workflows with observability, retries, and failure handling
• JavaScript and/or Python experience for backend logic, scripting, and internal tooling
• Solid SQL experience for data transformation, validation, and operational analytics (Snowflake a plus)
• Advanced comfort with JSON, schemas, and data normalization for LLM and automation use cases
• Hands-on experience running LLM-powered agents or automations in production, including guardrails and output validation
• Formal experience in prompt engineering frameworks
• Familiarity with integrating with CRM and support systems (e.g., Salesforce, Zendesk)

Systems & Architecture

• Track record designing end-to-end integration architectures across multiple platforms
• Ability to translate complex operational needs into scalable, maintainable technical systems
• Experience in anticipating API changes, schema drift, and downstream impacts in production environments

Mindset & Leadership

• Systems thinker who understands how data, automation, and AI interact across the stack
• Strong sense of ownership and commitment to building reliable, testable, observable systems
• High bar for engineering rigor, with sound judgment around AI safety, governance, and compliance
• Clear communicator who collaborates effectively across technical and non-technical partners
• Role model of Checkr’s values; mentors others and contributes to a healthy, inclusive team culture
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes

Nice-to-Have Experience

• Direct experience with Tray.io / Make / Zapier / UiPath
• Programming experience in Python
• Snowflake specifically (vs strong SQL generally)
• Salesforce or Zendesk integrations
• Front-end UI widgets / embeds
• Prior work in operations technology specifically (vs platform, infra, or product engineering)

What you’ll get

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive cash and equity compensation, and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend

#LI-TD1

Pay Transparency Disclosure

One of Checkr’s core values is Transparency. To live by that value, we’ve made the decision to disclose salary ranges in all of our job postings. We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website.

On-target Earnings OR Base Salary range (Denver, CO)

$150,000—$176,000 USD

On-target Earnings OR Base Salary range (Nashville, TN)

$136,000—$159,980 USD

At Checkr, we believe a hybrid work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO, San Francisco, CA, Nashville, TN, and Santiago, Chile. Individuals are expected to work from the office 3 days a week. In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages. A relocation stipend may be available for those willing to relocate to a Checkr hub location.

Equal Employment Opportunities at CheckrCheckr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance.

Applicant Privacy PolicyIf you are a California resident or are located in Alberta or British Columbia, our Applicant Privacy Policy applies to our collection and processing of your personal information when you apply for a role with us or otherwise participate in our recruitment process.

*Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., name@checkr.com or name@ext.checkr.com).