
2 - 10 employees
🎯 Recruiter
Recruitment
Tech Jobs (Gina's Tech Jobs) is an IT recruiting and technical staffing firm that connects employers with IT professionals and helps job seekers find technology roles. With 30+ years of experience and a national (U. S. ) plus international (Canada, England) presence, they place candidates across all levels—executive, senior, mid, junior—and specialties including software engineering, network and systems engineering, cloud, data, cybersecurity, quantitative roles, and security-cleared positions. They serve employers in industries such as finance/trading, healthcare (HIT), government, manufacturing, and insurance, and offer services for permanent placements and contract/contractor roles.
🔥 0 minutes ago
Where this job comes from
Posted on Tech Jobs's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

2 - 10 employees
🎯 Recruiter
Recruitment
Tech Jobs (Gina's Tech Jobs) is an IT recruiting and technical staffing firm that connects employers with IT professionals and helps job seekers find technology roles. With 30+ years of experience and a national (U. S. ) plus international (Canada, England) presence, they place candidates across all levels—executive, senior, mid, junior—and specialties including software engineering, network and systems engineering, cloud, data, cybersecurity, quantitative roles, and security-cleared positions. They serve employers in industries such as finance/trading, healthcare (HIT), government, manufacturing, and insurance, and offer services for permanent placements and contract/contractor roles.
• Define end-to-end requirements for Artificial Intelligence (AI) capabilities, from model behavior to system behavior to user experience • Translate model capabilities, evaluation results, and technical constraints into clear product and system decisions • Make trade-offs across quality, latency, cost, reliability, safety, and UX • Work closely with Machine Learning (ML), backend, and client engineers on system design, evaluation, and iteration • Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback • Establish clear quality bars and feedback loops for AI-powered experiences • Drive execution through clear specifications, prioritization, and strong technical judgment • Identify failure modes and ensure Artificial Intelligence (AI) systems behave predictably and recover gracefully • Own product quality end-to-end, including correctness, reliability, usefulness, and user trust
• Artificial Intelligence (AI) and Machine Learning (ML) experience required • Strong computer science fundamentals and system design skills • Solid understanding of modern Machine Learning (ML) and how Artificial Intelligence (AI) systems behave in production • Comfortable reading technical designs, understanding architectures, and engaging deeply with engineers • Strong intuition for model limitations, hallucinations, evaluation, and failure modes • Significant experience owning complex, technical products end-to-end • Hands-on experience with AI-powered products, particularly LLM-based systems • Experience with model evaluation, experimentation, prompting, or Artificial Intelligence (AI) system iteration • Ability to turn ambiguous problems into clear requirements, measurable outcomes, and executable plans • Strong judgment and ability to make decisions when the right answer is not obvious • Highly technical, curious, and comfortable going deep • Strong bias toward shipping, experimentation, and learning from real-world usage • Able to challenge engineers and researchers constructively while maintaining strong collaboration • Comfortable operating with significant ownership in a fast-moving, zero-to-one environment • MUST BE WILLING TO TAKE A 60 MINUTE CODING ASSESSMENT • Engineering background is a strong plus • Experience shipping AI-heavy consumer products is nice to have • Background as an engineer or highly technical product manager is nice to have • Experience defining evaluation metrics for Machine Learning (ML) systems is nice to have • Strong intuition for Artificial Intelligence (AI) UX patterns and failure handling is nice to have • Prior experience in zero-to-one product environments is nice to have
• Medical insurance • Dental insurance • Vision insurance • Savings Plan Options • PTO • Remote work / work from home
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🇺🇸 United States – Remote
💰 $120M Debt financing on 2025-04
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 AI Engineer