Staff AI Enablement Engineer
About the role
Join the IT Engineering team as a Staff AI Solutions Engineer, where you will serve as the primary driver of AI enablement and solutions engineering across all departments at Checkr. This is a highly visible, hands-on role that blends deep technical expertise with a passion for teaching and empowering others.
Requirements
- Bachelor’s degree in Computer Science or equivalent experience
- 5+ years of experience in engineering, solutions engineering, or technical enablement roles
- 3+ 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 integration of LLM models into applications
- Familiarity with cloud hosting 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
- Exceptional ability to tackle open-ended, ambiguous problems in unstructured environments, synthesizing complex information into actionable plans and deliverables
- Strong communication and presentation skills, with the ability to make complex AI concepts accessible to diverse audiences—from engineers to executives
- A builder’s mindset: you are equally comfortable architecting a solution, writing production code, creating a training deck, and facilitating a workshop
- A deep passion for AI and a genuine desire to help others harness its potential to transform how they work
Qualifications
We are looking for a candidate who is passionate about AI and eager to help others leverage its potential. The ideal candidate will have a strong background in computer science, experience with AI tools and platforms, and a proven track record of delivering impactful solutions.
Skills
- Python programming
- Machine learning
- Generative AI
- LLMs
- RAG architectures
- Agentic frameworks
- Prompt engineering
- Cloud hosting platforms (AWS, GCP, Azure)
Benefits
At Checkr, we offer:
- A competitive salary range of $177,000 - $208,000 USD for the San Francisco, CA location
- 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
Pay
Our pay transparency disclosure: 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.
Schedule
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.