AI Platform Engineer

About Distyl AIDistyl AIdevelops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000.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,Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneeringAI-native systems of work, solving the most complex, high-stakes challenges at scale.Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work indeep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed byLightspeed, Khosla, Coatue,industry leaders likeNat Friedman(former GitHub CEO), as well asboard members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations.What You'll DoAs anAI Platform Engineer,you will helpdesign, build, and optimize Distillery—our AI-native platform that powers real-world enterprise AI systems for diverse F500 workflows.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.Key ResponsibilitiesBuild & Scale AI-Native Infrastructure:Develop and refine a platform where AI builds, optimizes, and operates AI-powered workflows. Define how AI automation integrates into traditional enterprise infrastructure.Develop Cloud-Native Microservices & Scalable AI Systems:Design and build secure, high-performance backend services deployed across AWS/GCP/Azure or on-prem Kubernetes environments.Build using Python,FastAPI, SQLAlchemy, Alembic, and modern DevOps toolsto develop scalable, reliable AI infrastructure.Optimize System Performance & Reliability:Ensure high-availability, security, and observability of AI-native workflows. Implement best practices for ML/AI Ops, distributed computing, and scalable service orchestration.Collaborate with Cross-Functional Teams: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.Who We’re Looking ForWe are hiring multiple rolesacross different levels of seniority (3-10+ years of software engineering experience).Proficiency in Backend & Systems Engineering.Expertise in Python, Java, Golang, or C++ for building scalable, high-performance systems.Hands-on experiencewith Kubernetes, CI/CD, cloud platforms (AWS, GCP, or Azure), and infrastructure as code.Strong interest inAI-native development, leveraging tools like ChatGPT, Claude, Perplexity, and Cursor in engineering workflows.Experience withsecurity, distributed systems, storage, ML/AI Ops, and large-scale observabilityis a plus.What We OfferThe opportunity to buildenterprise-scale AI infrastructureused by Fortune 500 companies.Work alongside top engineers, AI researchers, and enterprise experts in anAI-nativecompany.Competitive salary, benefits, and equity in a fast-growing startup.Hybrid work environment – 3 days a week in ourNYCoffice.If you’re astrong software engineerwith a passion for building AI infrastructure, we’d love to hear from you.Apply nowand help shape the future of AI-powered enterprise systems!

Location: Hybrid

Salary range [USD annually]: None - None