AI Solutions Engineer

Job title: AI Solutions Engineer in Denver, CO at Checkr

Company: Checkr

Job description: 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 and is a Y Combinator 2024 .About the team/roleJoin the IT Engineering team as an AI Solutions Engineer, where you'll play a vital role in enhancing employee productivity across all departments at Checkr. In this role, you will leverage cutting-edge AI technologies-including Large Language Models and Retrieval Augmented Generation-to develop and deploy AI-driven solutions that address complex internal challenges. Collaborating closely with a diverse set of internal stakeholders, you'll have the opportunity to shape technological strategies that directly impact our mission to build the safe and fair data platform of the future.What you'll do:

• Engage with Internal Teams: Collaborate with internal stakeholders across various departments to understand their workflows, identify pain points, and uncover opportunities where AI can enhance productivity and efficiency.


• Develop AI Solutions: Design, develop, and deploy bespoke AI solutions tailored to meet the specific needs of internal teams, improving processes and decision-making capabilities.


• Cross-Functional Collaboration: Work closely with Engineers, Product Designers, and other AI Solutions Engineers to integrate AI technologies into existing systems and workflows.


• Iterate and Improve: Collect feedback from internal users to iterate on AI solutions, ensuring they continue to meet evolving needs and drive concrete impact within the organization.


• Training and Enablement: Lead training sessions and workshops to empower internal teams with the knowledge and tools to effectively utilize AI solutions.


• Strategic Planning: Contribute to the shaping of AI strategies and roadmaps aligned with organizational goals, ensuring that AI initiatives deliver maximum value.


• Stay Current with AI Trends: Continuously research and stay informed about the latest advancements in AI to incorporate relevant innovations into internal solutions.


• Communicate Insights: Present findings, progress updates, and future proposals to internal stakeholders, ranging from team members to executive leadership.

• Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience. A graduate degree is a plus.


• Engineering Leadership Experience: 5+ years of experience in engineering roles with a focus on building and deploying AI technologies that drive productivity.


• AI Expertise: 3+ years of hands-on experience developing AI-infused products, including machine learning, generative AI, deep learning, and statistical modeling techniques.


• Technical Proficiency: Strong programming skills in languages such as Python; experience with AI frameworks like TensorFlow, PyTorch, or similar tools.


• Analytical Mindset: Exceptional ability to tackle open-ended problems in unstructured environments, synthesizing complex data into actionable insights.


• Collaborative Approach: Proven track record of working effectively within cross-functional teams, with strong interpersonal and communication skills.


• Adaptability: Flexible and introspective, with a willingness to learn, teach, lead, and follow as situations require.


• Passion for Innovation: A deep interest in leveraging AI to transform internal processes and enhance employee productivity.

• Strong experience in building web applications and deploying containerized application deployments that run in Public Clouds such as AWS.


• Experience leveraging Azure Cognitive Services.


• Proven hands-on expertise and familiarity working with LLMs, RAGs, and open-source frameworks such as Lang Chain and Langflow.

• A fast-paced and collaborative environment


• Learning and development allowance


• Competitive 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, home office stipend

Expected salary: $152000 - 179000 per year

Location: Denver, CO

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