SmartLogic
SmartLogic
SmartLogic बाल्टीमोर स्थित एक सॉफ्टवेयर कंसल्टेंसी है, जो स्टार्टअप से लेकर फॉर्च्यून 500 कंपनियों तक के संगठनों के लिए कस्टम वेब और मोबाइल एप्लिकेशन बनाती है। 2005 में स्थापित, इसकी टीम आधुनिक तकनीक को चुस्त डिलीवरी प्रक्रियाओं के साथ जोड़कर प्रत्येक ग्राहक के लक्ष्यों के अनुरूप स्केलेबल और प्रतिक्रियाशील उत्पाद तैयार करती है। इसके कार्यों में World Central Kitchen के लिए टेक्स्ट-टू-ऑर्डर खाद्य राहत कार्यक्रम और बाल्टीमोर सिटी स्वास्थ्य विभाग के CHARMCare प्लेटफ़ॉर्म में उपयोगिता सुधार शामिल हैं। SmartLogic परामर्श, मार्केटिंग और लॉजिस्टिक्स से जुड़ी परियोजनाओं में ग्राहकों के साथ तकनीकी साझेदार के रूप में निकटता से काम करती है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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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