AI Engineer

Prodapt • Richardson, TX

4h

About The Position

As an AI Engineer, you will be the architect of our intelligence layer. You won't just be building models in isolation; you will be leveraging AIP to create integrated, "human-in-the-loop" AI applications. Your goal is to transform static data assets into dynamic, agentic workflows that solve complex operational challenges.

Requirements

• Proficiency in Ontology, Workshop, Contour, and Pipeline Builder.
• Deep understanding of AIP Logic, LLM orchestration (RAG), and prompt engineering.
• Expert-level Python and PySpark. Familiarity with TypeScript/SQL is a plus.
• Experience with data modeling, ETL/ELT, and managing large-scale datasets.
• Knowledge of modeling objective (Mojo) and CI/CD for ML models.
• Bachelor's degree in business, Information Technology, Computer Science, or a related field.
• 2-4 years' experience in the IT industry.

Nice To Haves

• Experience building Agentic Workflows (AI that can take actions, not just answer questions).
• A background in a highly regulated industry (Finance, Healthcare, Defense) where data privacy and security are paramount.

Responsibilities

• AIP Logic & Tooling: Design and implement AIP Logic functions and integrate LLMs (Large Language Models) into workflows.
• Ontology Architecture: Map complex business processes into the Ontology, ensuring AI models have a structured, semantic understanding of the organization.
• Pipeline Development: Build robust data pipelines using PySpark and Data Connection to feed high-quality data into AI features.
• Prompt Engineering & Orchestration: Develop and refine prompts and use AIP Assist or Automate to create autonomous agents and decision-support tools.
• Application Building: Use Workshop and Slate to build intuitive front-end interfaces where end-users can interact with AI insights.
• Governance & Ethics: Implement rigorous testing, versioning, and "checks and balances" within the AIP framework to ensure AI outputs are safe, reliable, and explainable.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level