Senior AI Engineer — Production ML & LLM Systems

ONEOK, Inc.

Northern (KY)

Hybrid

USD 114,000 - 172,000

Full time

13 days ago

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Job summary

ONEOK, a Fortune 500 midstream leader, seeks a Data Science professional to design, deploy, and maintain cloud-native AI/ML solutions. You will work with business partners in a fast-paced environment, leveraging Python, LLMs, and optimization to deliver value-driven analytics and automation.

You will build agent frameworks, tooling, and user interfaces, ensuring reliability, cost efficiency, and security as production-grade systems. Strong collaboration across teams is essential.

Qualifications

  • Bachelor’s degree with at least 5 years of software engineering experience shipping AI/ML systems.
  • Extensive experience with LLM-based systems, agent frameworks, tool use and evaluation.
  • Strong Python engineering, APIs/SDKs design, and production deployment experience.
  • Experience monitoring, incident response, and cost management for production systems.

Responsibilities

  • Develop, deploy, and maintain AI systems in production environments.
  • Advance numerical optimization, forecasting, computer vision, ML and anomaly detection.
  • Develop cloud-based infrastructure to host and run AI/ML models.
  • Design, tune, and evaluate tools, function calls, and prompt templates.
  • Create custom user interfaces for AI workflows based on user requirements.
  • Ensure security and IT partnership in production deployments.

Skills

Python
R
SQL
Spark
Databricks
Snowflake
LLMs
Agent frameworks
Prompt engineering
Retrieval
CI/CD

Education

Bachelor's degree

Tools

APIs
SDKs
Terraform
AWS
Azure

Job description

ONEOK, a Fortune 500 midstream leader, seeks a Data Science professional to design, deploy, and maintain cloud-native AI/ML solutions. You will work with business partners in a fast-paced environment, leveraging Python, LLMs, and optimization to deliver value-driven analytics and automation.

You will build agent frameworks, tooling, and user interfaces, ensuring reliability, cost efficiency, and security as production-grade systems. Strong collaboration across teams is essential.

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