AI Application Developer III

Love's Travel Stops & Country Stores•Oklahoma City, OK

2d•Hybrid

About The Position

Welcome to Love's – Our Technology Services team is seeking an AI Application Developer to design user-centric, data-driven applications that enhance intelligence and automation within Love's business operations. This hybrid low-code/pro-code role leverages modern AI platforms, Ontology-based data models, and enterprise application frameworks—supplemented with Python, TypeScript/JavaScript, and REST integrations—to deliver secure, guided workflows that drive real-time operational decisions. The developer works closely with business partners, SMEs, data engineers, and platform administrators to rapidly prototype, build, deploy, and improve AI-enabled applications that read from and write to governed enterprise data. This role blends product thinking, UX mindset, and software engineering rigor to deliver maintainable, scalable intelligent applications.

Requirements

3+ years of application development or full-stack engineering experience.
Experience building applications on enterprise data or AI platforms (e.g., Palantir Foundry, Databricks, Microsoft Fabric, or similar).
Bachelor's degree in MIS, CIS, Computer Science, Data Analytics, or Cloud Computing, or equivalent work experience.
Front-end implementation with Python and TypeScript/JavaScript (e.g., React) for custom components and interaction.
Familiarity with AI/ML concepts and experience integrating LLM APIs or AI services into user-facing applications.
Strong SQL and experience preparing application-level datasets.
Experience with REST APIs, OAuth2/OIDC, secrets management, and webhook integrations.
Familiarity with Git-based workflows, CI/CD pipelines (GitHub, Azure DevOps), and automated testing.
Cloud fundamentals (AWS or Azure) for deploying services, troubleshooting connectivity, and using managed platforms.
Understanding of data modeling, data workflows, and data governance principles.
Strong independent judgment: Able to simplify technical concepts, evaluate diverse factors, choose effective methods, and make sound decisions.
Effective cross‑functional communication: Comfort working across both technical and non‑technical departments.
Proactive ownership: Plans work, surfaces risks early, drives outcomes end‑to‑end with long‑term maintainability.
Collaborative mentorship: Pairs with business and technical teams, shares patterns, and uplifts overall engineering practices.
User‑centered mindset: Designs with empathy, biasing for clarity, speed, and low friction for end users.

Nice To Haves

Relevant platform or AI certifications (e.g., Azure AI, AWS ML Specialty, or equivalent enterprise data platform certification).

Responsibilities

Build user-facing AI-enabled applications using structured data models, actions, forms, and decision services.
Extend applications with pro-code (Python, TypeScript/JavaScript) using platform and AI SDKs.
Translate business workflows into secure, governed application logic with read/write data interactions.
Develop lightweight data transforms and pipelines to prepare application-ready and AI-ready datasets.
Integrate applications with internal and third-party systems via REST APIs, webhooks, and authenticated patterns.
Incorporate AI capabilities (e.g., LLM-based features, agentic workflows, intelligent recommendations) into operational applications.
Collaborate with SMEs, business users, and platform administrators to ensure governance, RBAC, and release readiness.
Apply engineering best practices including TDD, code reviews, version control, and CI/CD pipelines.
Instrument applications with telemetry, monitoring, feature flags, and performance health checks.
Produce clear technical documentation, reusable playbooks, and patterns to support team enablement.
Provide ongoing support, triage issues, fix defects, and maintain applications through updates and enhancements.
Support broader team and enterprise goals by proactively contributing to initiatives outside of core responsibilities.