
501 - 1000 employees
Founded 1959
š Education
š¤ Non-profit
š° $30k Grant - ACT on 2022-01
Education ⢠Non-profit
ACT is a nonprofit organization that administers the ACT college admissions test and provides Kā12 and workforce assessments, test prep, college- and career-planning resources, and related online services. It offers paper and computer-based testing, accommodations, score reporting, research for educators and institutions, and tools aimed at helping students prepare for college and career success.
š 6 days ago
š¾ Iowa ā Remote
šµ $110k - $135k / year
ā° Full Time
š Senior
š¤ AI Engineer
š¦ H1B Visa Sponsor
š» Ghost score 0%
Where this job comes from
Posted on ACT's careers page, not through a job board
First seen by Remote Rocketship 6 days ago

501 - 1000 employees
Founded 1959
š Education
š¤ Non-profit
š° $30k Grant - ACT on 2022-01
Education ⢠Non-profit
ACT is a nonprofit organization that administers the ACT college admissions test and provides Kā12 and workforce assessments, test prep, college- and career-planning resources, and related online services. It offers paper and computer-based testing, accommodations, score reporting, research for educators and institutions, and tools aimed at helping students prepare for college and career success.
⢠Solve complex technical problems across core systems and integrations with related platforms ⢠Contribute senior-level technical judgment to modernization initiatives and legacy-to-modern platform migrations ⢠Pilot and evaluate AI-assisted development tools, models, and techniques against real delivery work ⢠Propose and champion AI use cases using measured comparisons such as time saved, defect rate, or review burden ⢠Update team norms, playbooks, and tooling recommendations based on AI adoption learnings ⢠Apply platform architecture, history, and constraints to technical decisions ⢠Direct AI coding tools and agents to implement features from specifications, tickets, or requirements ⢠Own end-to-end feature delivery from specification through production ⢠Review, test, and correct AI-generated code for correctness, security, and architectural fit ⢠Scrutinize AI-suggested dependencies and code affecting authentication, data access, or external integrations ⢠Write detailed specifications for AI implementation and decide when to escalate ambiguous issues ⢠Maintain and extend evaluation and guardrail practices to prevent AI-introduced regressions ⢠Independently evaluate AI-assisted development tools, primarily Claude Code ⢠Recommend and refine engineering practices with substantial autonomy ⢠Share and teach AI-assisted development practices, including code review norms, prompting, and verification ⢠Operate as an individual contributor and drive adoption through technical expertise and collaboration ⢠Potentially lead or contribute to cross-team standards for responsible AI tool usage ⢠Participate in the engineering support rotation ⢠Lead or contribute to a modernization effort or comparable initiative as the role matures
⢠Minimum of 5 years of progressively responsible software engineering experience ⢠Object-oriented and/or functional programming fundamentals ⢠Data modeling and query performance reasoning across relational and/or schema-driven data layers ⢠API design fundamentals, including contracts, versioning, and backward compatibility ⢠Security fundamentals, including authentication/authorization flows, common injection classes, and dependency risk ⢠Distributed systems fundamentals, including failure modes, statelessness, and behavior under concurrent load ⢠Experience with a backend language/runtime such as Node.js (NestJS), Java, or comparable OOP/functional stack ⢠Experience with GraphQL or REST, including schema design and versioning ⢠Experience with React or comparable component-based frontend framework ⢠Experience with PostgreSQL or comparable relational database ⢠Experience with AWS and Kubernetes or comparable cloud-native infrastructure ⢠Demonstrated, hands-on production use of Claude Code or comparable AI-assisted coding tool ⢠Track record of piloting an AI-assisted development tool or technique and measuring its actual impact ⢠Ability to critically evaluate AI-generated code and provide an example of catching an AI-generated error before shipment ⢠Working knowledge of AI-specific security risks and related production safeguards ⢠Strong engineering fundamentals independent of AI tooling ⢠Ability to work from ambiguous specifications and exercise sound judgment ⢠Experience working across a mixed legacy and modern technology stack ⢠Experience owning delivery end to end, from specification through production ⢠Bachelor's degree in computer or data science, software engineering, artificial intelligence, or related field, or equivalent combination of education and experience ⢠Visa applicants must be authorized to work in the U.S. without visa sponsorship ⢠Finalists subject to a criminal background check as a condition of employment
⢠Company-paid life insurance ⢠Medical insurance ⢠Dental insurance ⢠Vision insurance ⢠Flexible health spending accounts ⢠Flexible dependent spending accounts ⢠401(k) retirement savings with company match ⢠Paid holidays ⢠Paid time off ⢠Inclusive workplace and equal opportunity to grow ⢠ACT National Career Readiness Certificate completion recommended
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