Applied AI Engineer
Backend Developer
Ai Application Development
Artificial Intelligence
Data Analysis
Data Analytics
Data Engineer
Data Integration
Data Operations
Data Pipeline
Data Platform
Data Processing
Data Science
Databases
DevOps
Full Stack Developer
Information Technology (IT)
Machine Learning
Programming
Programming Language
Programming Languages
Software Development
Software Engineer
SQL
Job Description
Nucor Business Technology is hiring an Applied AI Engineer to engineer, deploy, and support full-stack AI-driven web applications on enterprise AI platforms.
Responsibilities
- Build, deploy, and support AI applications and workflows for division, commercial, and corporate teams on enterprise AI platforms.
- Stand up proofs of value, validate results quickly, and convert successful prototypes into scalable, supportable solutions.
- Configure, maintain, and support DataOps and MLOps tooling, including pipelines, job orchestration, feature stores, monitoring, and CI/CD.
- Rapidly create custom AI and ML solutions for urgent needs across scrap, EAF, casting, rolling, finishing, and logistics, plus commercial use cases.
- Develop and deploy full-stack, AI-based enterprise applications.
- Perform design and development reviews; test, troubleshoot, and enhance software applications.
- Deliver technical deep-dives, demonstrations, and internal training.
- Create user playbooks, quick-start guides, and run enablement and training sessions.
- Collaborate with OT, IT, cybersecurity, and business SMEs to align with Nucor guardrails for reliability, safety, and compliance.
- Work effectively in ambiguity with hands-on, on-the-floor practicality in mill environments.
- Write application specifications and documentation.
- Continuously identify technical risks and gaps; develop mitigation strategies ahead of team needs.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related discipline.
- Equivalent combination of experience and education will be considered.
- 3+ years delivering AI or ML applications on enterprise platforms, or a relevant degree with strong internships or projects.
- 1+ year experience with Python, SQL, notebooks, version control, and CI/CD fundamentals.
- Experience operating production pipelines and jobs, including alerting and observability.
- Demonstrated ability to initiate, lead, and uphold safety policies, practices, procedures, and housekeeping standards at all times (safety is the most important part of all jobs within Nucor).
Technologies
- C3.ai
- Palantir Foundry
- Python
- SQL
- CI/CD
- Git
- JavaScript
- React
- Redux
- Vue
- Backbone
- Angular
- Azure
- Power BI
- Tableau
- Qlik
- Figma
Preferred Qualifications
- Prior experience with enterprise AI application platforms and their semantic/object models (e.g., C3.ai model types, Palantir Foundry ontology).
- Strong software development background with Python and JavaScript, including modern JavaScript frameworks (React, Redux, Vue, Backbone, or Angular).
- Proficiency with Git or other version control systems.
- Experience deploying software to cloud platforms (e.g., Azure).
- Solid understanding of SQL and NoSQL databases, data structures, algorithms, and time-series data analysis (including cleansing and normalization).
- Working knowledge of Agile software development methodologies.
- Strong grasp of common machine learning techniques, applications, and trade-offs.
- Experience with data visualization tools (Power BI, Tableau, Qlik).
- Familiarity with Figma or similar design/prototyping tools for UI/UX collaboration.
- Exposure to plant historians, MES, event streams, or edge integrations.
- Experience managing continuous improvement projects and implementing supply chain AI applications.
- Ability to translate business needs into system requirements and communicate effectively across technical and business teams.
Benefits
- Medical
- Dental
- Vision
- Disability Insurance
- 401K and Roth accounts
- Profit sharing
- Pay-for-performance bonuses
- Paid parental leave
- Tuition reimbursement
- Stock program
- Scholarships
Location: Dallas, TX, United States (onsite)
Experience level: 3+ years