🔥 14 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.
• Build a monthly roadmap of AI workflows to design and ship, prioritized by productivity or cost impact, for every department (except Product and Engineering) • Identify manual, repetitive work across departments and design AI-driven workflows to replace or accelerate it • Ship the workflows you scope: configure tools, build automations, and get them into daily use, not just document recommendations • Iterate and fine-tune workflows post-launch based on usage and feedback • Support system implementations for AI and adjacent tools, partnering with the CTO and Engineering on technical requirements and data access • Connect AI tools into core business systems (CRM, HRIS, finance tools, Slack, etc.), so workflows run inside the systems teams already use • Evaluate and pilot new AI tools for specific departments and use cases, and recommend what to adopt, pause, or retire • Train department teams on the workflows and tools you build, and follow up to make sure they're actually being used • Troubleshoot adoption issues directly with end users rather than escalating them • Track usage and cost of AI tools by team and use case, and run monthly ROI reporting • Report progress monthly to the CTO on workflow delivery, adoption, and productivity/cost impact • Level up teams to build and own their own AI workflows over time, so departments grow more self-sufficient rather than depending on you for every change
• Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (or equivalent hands-on experience) • 2–4 years of experience in AI/LLM implementation, workflow automation, technical business operations, or a related hands-on technical role • Able to write and modify code for simple, internal business applications (even if AI writes most of it)—production-grade or engineering-quality code is not required • Demonstrated experience building integrations or automations (e.g., Zapier, Make, APIs, low-code/no-code platforms) • Working knowledge of modern AI tools (Claude, Copilot, and similar) and how to apply them to business workflows • Comfortable working cross-functionally with non-technical teams (Sales, CS, Marketing, Finance, HR) to scope and deliver workflows • Strong communicator who can train and troubleshoot with non-technical users • Detail-oriented with strong ownership over initiatives, start to finish • Very effective in a remote work environment
• 100% remote w/ no office mandate • Unlimited PTO • 22 official company holidays • Health care • Life insurance • Stock options • Amazing colleagues • Energetic culture that is positive and celebrates together • Inspiring mission & software product • Ability to grow your career by being early in a fast-growing tech startup
Apply Now🔥 1 hour ago
AI/ML Software Engineer at FTI Defense designing and deploying secure software systems for mission operations. Focused on developing containerized solutions and integrating AI with engineering best practices.
🔥 4 hours ago
10,000+ employees
AI Engineer developing AI-powered features for medical education at Vanderbilt University. Focusing on personalized learning through data and AI in a remote position.
🇺🇸 United States – Remote
💰 Grant on 2024-09
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 AI Engineer
🦅 H1B Visa Sponsor
🔥 7 hours ago
AI Enablement Engineer creating practical AI solutions to improve efficiency at CivicPlus. Collaborating across teams to enhance tools and workflows for local government impact.
🇺🇸 United States – Remote
💵 $140k - $145k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 AI Engineer
🦅 H1B Visa Sponsor
🕒 2 days ago
11 - 50
AI Workflow Engineer at UKi, architecting agentic SDLC pipelines with AI for skilled US-based engineers. Transforming software delivery processes with a strong focus on governance and measurement.
🕒 2 days ago
11 - 50
AI Workflow Engineer designing and implementing workflows for agentic software delivery. Enhancing developer experiences with AI integrations and establishing governance for responsible AI use.