Checkr

3 months ago

Staff AI Enablement Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Lead AI enablement across Checkr by configuring and evaluating AI tools, building bespoke AI-powered solutions, and creating scalable, templatized workflows. Own enablement programs (office hours, hackathons) and develop reusable resources, playbooks, and reference architectures while partnering with Engineers, Security, and Data teams to ensure security, compliance, and impact at scale.

Location: San Francisco, Denver, Nashville, Santiago

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Requirements Gathering & Enablement: Embed with internal teams across departments to deeply understand their workflows, gather requirements, identify high-impact AI use cases, and translate business needs into actionable technical solutions.
•Lead Office Hours & Hackathons: Own and facilitate recurring AI office hours for drop-in support and guidance. Design and lead company-wide AI hackathons that inspire experimentation, knowledge sharing, and the discovery of innovative use cases.
•AI Tool Configuration & Evaluation: Evaluate, configure, and recommend the right AI tools and platforms for the organization. Stay on top of the rapidly evolving AI tooling landscape and make informed build-vs-buy recommendations.
•Build Bespoke AI Solutions: Design, develop, and deploy custom AI solutions tailored to specific team needs—leveraging LLMs, RAG architectures, agentic workflows, and automation frameworks to solve real business problems.
•Create Resources & Artifacts: Develop reusable playbooks, prompt libraries, workflow templates, how-to guides, and reference architectures that enable teams to self-serve on AI adoption.

Pay and Benefits

Salary: USD 177,000 - 208,000 annually

Perks:Learning BudgetHealth InsuranceDentalVisionHome OfficeCommuter BenefitsPaid Leave

Key Requirements

•5-7+ years of experience in engineering, solutions engineering, or technical enablement roles, with a track record of deploying solutions that measurably enhance productivity.
•4+ years of hands-on experience developing AI-centric products and solutions, including machine learning, generative AI, LLMs, RAG architectures, agentic frameworks, and prompt engineering.
•Deep proficiency in Python and experience with AI frameworks and tools such as LangChain, LangGraph, LlamaIndex, OpenAI API, and similar; familiarity with Docker, Kubernetes and cloud platforms (AWS, GCP, Azure).
•Demonstrated ability to lead enablement programs—including running office hours, hackathons, training sessions, and creating scalable documentation and resources.
•Proven experience gathering requirements from non-technical stakeholders and translating them into well-scoped technical solutions.

Experience:5-7 yearsAITechnology

Education:Bachelor's in Computer Science

Skills:CommunicationLeadershipTrainingProblem-solvingPresentation

Languages:English

Tech Stack:PythonLangChainLangGraphLlamaIndexOpenAI APIDockerKubernetesAWSGCPAzure

Company Brief

Checkr

Provides an automated, AI-driven background check platform for hiring, helping employers run compliant and fast background screenings, identity verification, and continuous monitoring to streamline recruitment and reduce risk.

Industry: HR Tech

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2014

Website LinkedIn

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Checkr

3 months ago

Staff AI Enablement Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: San Francisco, Denver, Nashville, Santiago

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Requirements Gathering & Enablement: Embed with internal teams across departments to deeply understand their workflows, gather requirements, identify high-impact AI use cases, and translate business needs into actionable technical solutions.
•Lead Office Hours & Hackathons: Own and facilitate recurring AI office hours for drop-in support and guidance. Design and lead company-wide AI hackathons that inspire experimentation, knowledge sharing, and the discovery of innovative use cases.
•AI Tool Configuration & Evaluation: Evaluate, configure, and recommend the right AI tools and platforms for the organization. Stay on top of the rapidly evolving AI tooling landscape and make informed build-vs-buy recommendations.
•Build Bespoke AI Solutions: Design, develop, and deploy custom AI solutions tailored to specific team needs—leveraging LLMs, RAG architectures, agentic workflows, and automation frameworks to solve real business problems.
•Create Resources & Artifacts: Develop reusable playbooks, prompt libraries, workflow templates, how-to guides, and reference architectures that enable teams to self-serve on AI adoption.

Pay and Benefits

Salary: USD 177,000 - 208,000 annually

Perks:Learning BudgetHealth InsuranceDentalVisionHome OfficeCommuter BenefitsPaid Leave

Key Requirements

•5-7+ years of experience in engineering, solutions engineering, or technical enablement roles, with a track record of deploying solutions that measurably enhance productivity.
•4+ years of hands-on experience developing AI-centric products and solutions, including machine learning, generative AI, LLMs, RAG architectures, agentic frameworks, and prompt engineering.
•Deep proficiency in Python and experience with AI frameworks and tools such as LangChain, LangGraph, LlamaIndex, OpenAI API, and similar; familiarity with Docker, Kubernetes and cloud platforms (AWS, GCP, Azure).
•Demonstrated ability to lead enablement programs—including running office hours, hackathons, training sessions, and creating scalable documentation and resources.
•Proven experience gathering requirements from non-technical stakeholders and translating them into well-scoped technical solutions.

Experience:5-7 yearsAITechnology

Education:Bachelor's in Computer Science

Skills:CommunicationLeadershipTrainingProblem-solvingPresentation

Languages:English

Tech Stack:PythonLangChainLangGraphLlamaIndexOpenAI APIDockerKubernetesAWSGCPAzure

Company Brief

Checkr

Industry: HR Tech

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2014

Website LinkedIn