AI Platform Engineer
<p style="min-height:1.5em"><strong>About Distyl AI</strong></p><p style="min-height:1.5em"><a target="_blank" rel="noopener noreferrer nofollow" href="https://distyl.ai/">Distyl AI</a> develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000.</p><p style="min-height:1.5em">In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, <strong>Distillery</strong>, along with our team of AI Engineers, Researchers, and Strategists, is pioneering <strong>AI-native systems of work</strong>, solving the most complex, high-stakes challenges at scale.</p><p style="min-height:1.5em">Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in <strong>deep partnership with OpenAI</strong>, jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed by <strong>Lightspeed, Khosla, Coatue,</strong> industry leaders like<strong> Nat Friedman </strong>(former GitHub CEO), as well as <strong>board members of over 20+ F500s</strong>, Distyl is building the future of AI-powered enterprise operations.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>What You'll Do</strong></p><p style="min-height:1.5em">As an <strong>AI Platform Engineer, </strong>you will help <strong>design, build, and optimize Distillery</strong>—our AI-native platform that powers real-world enterprise AI systems for diverse F500 workflows.</p><p style="min-height:1.5em">Your role will involve developing scalable AI infrastructure, ensuring system reliability, and collaborating with engineers and business leaders to solve some of the most complex AI deployment challenges.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>Key Responsibilities</strong></p><p style="min-height:1.5em"><strong>Build & Scale AI-Native Infrastructure: </strong>Develop and refine a platform where AI builds, optimizes, and operates AI-powered workflows. Define how AI automation integrates into traditional enterprise infrastructure.</p><p style="min-height:1.5em"><strong>Develop Cloud-Native Microservices & Scalable AI Systems: </strong>Design and build secure, high-performance backend services deployed across AWS/GCP/Azure or on-prem Kubernetes environments. <strong>Build using Python,</strong> <strong>FastAPI, SQLAlchemy, Alembic, and modern DevOps tools</strong> to develop scalable, reliable AI infrastructure.</p><p style="min-height:1.5em"><strong>Optimize System Performance & Reliability: </strong>Ensure high-availability, security, and observability of AI-native workflows. Implement best practices for ML/AI Ops, distributed computing, and scalable service orchestration.</p><p style="min-height:1.5em"><strong>Collaborate with Cross-Functional Teams: </strong>Partner with Forward-Deployed Engineers (FDEs), AI Researchers, and business SMEs to translate real-world operational needs into platform capabilities. Advocate for strong software engineering and DevOps practices, driving high coding standards and scalable architectures.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>Who We’re Looking For</strong></p><p style="min-height:1.5em"><strong>We are hiring multiple roles</strong> across different levels of seniority (3-10+ years of software engineering experience).</p><p style="min-height:1.5em"><strong>Proficiency in Backend & Systems Engineering. </strong>Expertise in Python, Java, Golang, or C++ for building scalable, high-performance systems.</p><p style="min-height:1.5em"><strong>Hands-on experience</strong> with Kubernetes, CI/CD, cloud platforms (AWS, GCP, or Azure), and infrastructure as code.</p><p style="min-height:1.5em">Strong interest in <strong>AI-native development</strong>, leveraging tools like ChatGPT, Claude, Perplexity, and Cursor in engineering workflows.</p><p style="min-height:1.5em">Experience with <strong>security, distributed systems, storage, ML/AI Ops, and large-scale observability</strong> is a plus.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>What We Offer</strong></p><p style="min-height:1.5em">The opportunity to build <strong>enterprise-scale AI infrastructure</strong> used by Fortune 500 companies.</p><p style="min-height:1.5em">Work alongside top engineers, AI researchers, and enterprise experts in an <strong>AI-native</strong> company.</p><p style="min-height:1.5em">Competitive salary, benefits, and equity in a fast-growing startup.</p><p style="min-height:1.5em">Hybrid work environment – 3 days a week in our<strong> NYC</strong> office.</p><p style="min-height:1.5em">If you’re a <strong>strong software engineer</strong> with a passion for building AI infrastructure, we’d love to hear from you. <strong>Apply now</strong> and help shape the future of AI-powered enterprise systems!</p>
Location: New York
Salary range: None - None