AI Engineer III

This is a fully remote position, open to applicants in Colorado, +15 more states.

📋 Description

• Design, implement, and oversee production AI systems, encompassing agents, harnesses, tools, and evaluation pipelines.

• Guarantee the reliability, latency, cost-effectiveness, and accuracy of AI systems.

• Create capabilities in numerical optimization, forecasting, computer vision, machine learning, and anomaly detection.

• Build and execute cloud-based infrastructure for AI and ML models.

• Architect, refine, and assess tools, function calls, and prompt templates.

• Develop tailored user interfaces for AI workflows in alignment with user specifications.

• Ensure AI systems comply with ONEOK IT and security protocols during their transition to production.

• Design APIs, SDKs, or frameworks utilized by other engineering teams.

• Implement and oversee production systems, including monitoring, incident management, and cost oversight.

• Work collaboratively with business partners and cross-functional teams.

• Provide mentorship to junior staff on advanced technologies.

• Travel as necessary to support IT infrastructure projects, implementation, or collaboration across various business sites.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Management Information Systems, Engineering, Accounting, Finance, Business Administration, or a related discipline.

• At least 5 years of experience in software engineering.

• Proven experience in shipping and maintaining AI/ML systems in live environments.

• Extensive familiarity with LLM-based systems, including agent frameworks, tool utilization, evaluations, prompt engineering, and retrieval techniques.

• Strong proficiency in Python programming.

• Understanding of optimization, forecasting, or computer vision.

• Experience in designing APIs, SDKs, or frameworks for use by other engineers.

• Demonstrated capability in deploying and managing production systems, including monitoring, incident response, and cost management.

• High proficiency in data analysis tools and programming languages such as Python, R, and SQL.

• Expertise 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, covering table structures, indexes, and primary/foreign key fields.

• Ability to present solutions to both technical and non-technical audiences.

• Competence in developing solutions to complex problems through abstract thinking.

• Capability to manage and prioritize multiple tasks with conflicting deadlines.

• Skill in conducting meetings and delivering information to individuals and groups.

• Proficiency in applying mathematical, algebraic, statistical, and volumetric methods.

• Self-motivated and self-directed with the ability to influence and facilitate discussions across teams and technologies.

• Capability to mentor junior personnel.

• No licenses or certifications are necessary.

• Preferred: Relevant certifications in cloud, data science, machine learning, or data engineering.

• Willingness to travel as required.

• May be assigned a company vehicle, necessitating the appropriate driver's license.

🏝️ Benefits

• Eligibility for remote work in specified U.S. states.

• Travel support for office meetings, IT infrastructure projects, implementation, or collaboration across business locations as necessary.

• Reasonable accommodations for individuals with disabilities throughout the application and hiring process.

• Equal opportunity employer dedicated to diversity and inclusion.