Data & AI Engineer

Job DescriptionYou'll be joining a small team rebuilding Westrock Coffee's operating system from the ground up on Palantir Foundry. This isn't a maintain-the-dashboard role--you'll architect core data pipelines, design ontology models, and ship AI-driven applications that change how our company operates. This is a junior position with significant room to grow in our organization.Job Duties:Collaborate with cross-functional teams to identify requirements to architect and build impactful solutions by developing customer applicationsArchitect and engineer solutions in Palantir Foundry on the team working toward building out the reimagined Westrock Coffee operating systemDesign and implement end-to-end data pipelines and transformation logic with a focus on data health and sustainabilityModel objects and relationships in the Enterprise OntologyApply machine learning best practices, including feature engineering, model validation, and performance tuning for development and deploymentUtilize Foundry AIP and integrate LLM-based agents to transform workflowsDesign and build agent architecture that enables observability, human-in-the-loop verification, and precise context control accessJob RequirementsQualifications:1--3 years of software engineering and development experienceStrong engineering background, preferably in fields such as Computer Science, Mathematics, Engineering, and Data ScienceStrong coder with shown proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar for data manipulation, scripting, model development, and application buildingStrong foundation in Machine Learning basics (Evaluation, Training, Problem Decomposition)In-office position in Little Rock, Arkansas Headquarters working in a collaborative Foundry Development CenterExperience with Palantir Foundry is a strong plus, but we're equally interested in engineers who learn platforms fast and have built on complex data systems beforeEqual Opportunity Employer / Vets / DisabledJob DetailsJob Type: Full-timeCategory: Information TechnologySalaried: Salaried