AI Engineer

. Crane Worldwide Logistics .•Houston, TX

About The Position

Essential Job Functions Take point on technical development & exploration for a small number of high-value, clearly scoped AI use cases (POC mode) Partner with other engineering teams to turn successful POCs into enterprise-scale, production-ready solutions (builder mode) Work with technical leadership to shape our data & software architecture to work well with both developers and agents/models Drive converging key standards with technical strategy to develop an AI platform approach to manage observability, testing/evaluations, authn/authz for model plugins & tools, cost management, and flexible model adoption Work with business teams on vendor evaluations and new project rollouts Advising on necessary technical guardrails Opening the black box of vendor implementations Identifying where commoditized tools can replace higher-cost, custom offerings from vendors to reduce lock-in or cost Work with technical teams on structured adoption of AI workflow enhancements, e.g. working with platform teams on adding standardized development copilots that speed up development & review cycles while minimizing slop Other duties as assigned. Physical Requirements Job may require extended sitting or standing, use of standard office equipment. Job requires the ability to use vision, adjust focus and work on a standard computer screen. Use of audio-visual equipment is required.

Requirements

High School degree required
BS degree in Information Technology, Computer Science, related technical field, or equivalent practical experience.
3+ years programming in a team context
Strong understanding of data/backend fundamentals around compute, storage, and streaming
Comfort with front-end development
Hands-on experience using AI tools in your developer workflow
Hands-on experience with managing & deploying cloud resources
Comfortable presenting to other developers & engineers in a group context

Nice To Haves

Strong experience with repeatable deployment & development patterns using IAC, Docker, etc
Experience implementing ML or optimization projects
Hands-on experience implementing LLM-based tools in a business context

Responsibilities

Take point on technical development & exploration for a small number of high-value, clearly scoped AI use cases (POC mode)
Partner with other engineering teams to turn successful POCs into enterprise-scale, production-ready solutions (builder mode)
Work with technical leadership to shape our data & software architecture to work well with both developers and agents/models
Drive converging key standards with technical strategy to develop an AI platform approach to manage observability, testing/evaluations, authn/authz for model plugins & tools, cost management, and flexible model adoption
Work with business teams on vendor evaluations and new project rollouts
Advising on necessary technical guardrails
Opening the black box of vendor implementations
Identifying where commoditized tools can replace higher-cost, custom offerings from vendors to reduce lock-in or cost
Work with technical teams on structured adoption of AI workflow enhancements, e.g. working with platform teams on adding standardized development copilots that speed up development & review cycles while minimizing slop
Other duties as assigned

Benefits

Quarterly Incentive Plan
136 hours of Paid Time Off which equals 17 days for the year, that can be used for Sick Time or for Personal Use
Excellent Medical, Dental and Vision benefits
Tuition Reimbursement for education related to your job
Employee Referral Bonuses
Employee Recognition and Rewards Program
Paid Volunteer Time to support a cause that is close to your heart and contributes to our communities
Employee Discounts
Wellness Incentives that can go up to $100 per year for completing challenges, in addition to a discount on contribution rates

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