SmartLogic
SmartLogic
SmartLogic este o companie de consultanță software cu sediul în Baltimore, care dezvoltă aplicații web și mobile personalizate pentru organizații, de la startupuri până la companii din Fortune 500. Fondată în 2005, echipa combină tehnologiile moderne cu practicile de dezvoltare agilă pentru a crea produse scalabile și receptive, adaptate obiectivelor fiecărui client. Printre proiectele sale se numără un program de ajutor alimentar cu comenzi prin mesaje text pentru World Central Kitchen și îmbunătățiri de uzabilitate pentru platforma CHARMCare a Departamentului de Sănătate al orașului Baltimore. SmartLogic colaborează îndeaproape cu clienții săi în calitate de partener tehnologic pentru proiecte de consultanță, marketing și logistică.

AI Engineering Enablement and Adoption Coach

Coach SmartLogic’s engineering team in responsible AI-assisted development. Evaluate workflows and tools, guide adoption, and create scalable practices that improve software delivery while protecting quality, security, privacy, and client obligations.

Descriere

  • Review the team’s current AI usage, engineering workflows, capabilities, challenges, and opportunities
  • Determine the most valuable applications for AI-assisted software development
  • Assess AI tools and working methods, recommending what to standardize, test, or avoid
  • Create an AI engineering enablement strategy with a prioritized development roadmap
  • Build consistent practices, standards, playbooks, workflows, and reusable tools for project teams
  • Train developers and Staff Engineers through practical use of AI in live development workflows
  • Protect architecture, maintainability, testing, code review, security, privacy, and quality standards during AI-assisted development
  • Define benchmarks and metrics to evaluate AI’s effect on software delivery profit margin
  • Help SmartLogic deliver software more efficiently and effectively through responsible AI-assisted development
  • Manage considerations including client intellectual property, confidentiality, sensitive health data, and project-specific AI permissions

Cerințe

  • Several years of experience as an AI engineering consultant or practitioner
  • Staff Engineer-level software engineering expertise and decision-making
  • Extensive hands-on experience with AI-assisted development and agentic coding tools in production codebases
  • Proven ability to help engineers use AI while preserving architecture, maintainability, testing, security, code review, and quality standards
  • Experience guiding engineering teams through AI adoption
  • Experience creating practical workflows, standards, playbooks, or internal tools for other engineers
  • Strong understanding of the risks and limitations of AI-generated software, including situations where AI assistance is inappropriate
  • Experience measuring AI’s effect on software delivery beyond basic adoption statistics
  • Excellent coaching and communication abilities
  • Willingness and ability to sign a non-disclosure agreement
  • Proposal covering relevant experience, comparable engagements and results, proposed approach, assigned personnel and technical background, engagement structure and timeline, pricing and payment terms, and available references or case studies

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