AI Engineer III

Job not on LinkedIn

🔥 0 minutes ago

⛰️ Colorado, Illinois, +14 more states – Remote

⛰️ Colorado – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote ⚜️ Louisiana – Remote 🦬 Montana – Remote 🌾 Nebraska – Remote 🌶️ New Mexico – Remote 🌾 North Dakota – Remote 🌪️ Oklahoma – Remote ❄️ Minnesota – Remote 🏰 Missouri – Remote 🗿 South Dakota – Remote 🤠 Texas – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

💵 $114k - $172k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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ONEOK

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1906

⚡ Energy

🚗 Transport

💰 Post-IPO Debt on 2023-08

Energy • Transport

ONEOK is a leading energy company that operates in the natural gas and liquids industry. It owns and operates facilities involved in gathering, fractionating, treating, distributing, and storing natural gas liquids (NGLs). The company also manages a segment dedicated to refined products and crude oil, which focuses on gathering, transporting, storing, and distributing petroleum products. Moreover, ONEOK provides midstream services for natural gas gathering and processing in several U. S. states and offers interstate and intrastate transportation and storage services through its natural gas pipelines. With its diversified, reliable, and integrated operations, ONEOK plays a crucial role in delivering energy products and services that are vital to the modern world.

📋 Description

• Develop, deploy, and maintain production AI systems, including agents, harnesses, tools, and evaluation pipelines • Ensure reliability, latency, cost, and accuracy of AI systems • Develop numerical optimization, forecasting, computer vision, machine learning, and anomaly detection capabilities • Develop and implement cloud-based infrastructure for AI and ML models • Design, tune, and evaluate tools, function calls, and prompt templates • Develop custom user interfaces for AI workflows based on user requirements • Ensure AI systems meet ONEOK IT and security standards during production transition • Design APIs, SDKs, or frameworks consumed by other engineers • Deploy and manage production systems, including monitoring, incident response, and cost management • Collaborate with business partners and cross-functional teams • Mentor less experienced personnel on complex technologies • Travel as needed to support IT infrastructure initiatives, project implementations, or collaboration across business locations

🎯 Requirements

• Bachelor's degree in Computer Science, Management Information Systems, Engineering, Accounting, Finance, Business Administration, or another related field • Minimum 5 years of software engineering experience • Demonstrated experience shipping and maintaining AI/ML systems in production environments • Extensive experience with LLM-based systems, including agent frameworks, tool use, evaluations, prompt engineering, and retrieval • Strong Python engineering skills • Familiarity with optimization, forecasting, or computer vision • Experience designing APIs, SDKs, or frameworks consumed by other engineers • Proven experience deploying and managing production systems, including monitoring, incident response, and cost management • Strong proficiency in data analysis tools and programming languages such as Python, R, and SQL • Proficiency in the LLM ecosystem, including agentic coding, AI harnesses, model APIs, Anthropic, AWS Bedrock, and OpenAI • Proficiency in cloud platforms including IaaS and PaaS, such as AWS, Azure, and Terraform • Experience with SDLC, CI/CD pipelines, code repositories, and branching strategies including ADO, GitHub, and GitLab • Knowledge of relational database design, including table structures, indexes, and primary/foreign key fields • Ability to present solutions to technical and non-technical audiences • Ability to develop solutions to complicated issues using abstract thinking • Ability to manage and prioritize multiple assignments with competing deadlines • Ability to conduct meetings and present information to individuals and groups • Ability to apply mathematical, algebraic, statistical, and volumetric methods • Ability to be self-motivated and self-directed • Ability to influence and facilitate discussions across teams and technologies • Ability to mentor less experienced personnel • No licenses or certifications required • Relevant cloud, data science, machine learning, or data engineering certifications preferred • Ability to travel as needed • May be assigned a company vehicle requiring the applicable driver's license

🏖️ Benefits

• Remote work eligibility in specified U.S. states • Travel support for office meetings, IT infrastructure initiatives, project implementations, or collaboration across business locations as needed • Reasonable accommodations for individuals with disabilities during the application and hiring process • Equal opportunity employer committed to diversity and inclusion