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Join 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.
Job Responsibility:
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
Requirements:
Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience. A graduate degree is a plus
5+ years of experience in engineering roles with a focus on building and deploying AI technologies that drive productivity
3+ years of hands-on experience developing AI-infused products, including machine learning, generative AI, deep learning, and statistical modeling techniques
Strong programming skills in languages such as Python
experience with AI frameworks like TensorFlow, PyTorch, or similar tools
Exceptional ability to tackle open-ended problems in unstructured environments, synthesizing complex data into actionable insights
Proven track record of working effectively within cross-functional teams, with strong interpersonal and communication skills
Flexible and introspective, with a willingness to learn, teach, lead, and follow as situations require
A deep interest in leveraging AI to transform internal processes and enhance employee productivity
Nice to have:
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
What we offer:
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
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