Distyl AI is looking to solve complex, high-stakes challenges at scale for Global Fortune 1000 companies by pioneering AI-native systems of work. The company aims to build and optimize its AI platform, Distillery, to power real-world enterprise AI systems for diverse F500 workflows.
Requirements
- Proficiency in Backend & Systems Engineering.
- Expertise in Python, Java, Golang, or C++ for building scalable, high-performance systems.
- Hands-on experience with Kubernetes, CI/CD, cloud platforms (AWS, GCP, or Azure), and infrastructure as code.
- Strong interest in AI-native development, leveraging tools like ChatGPT, Claude, Perplexity, and Cursor in engineering workflows.
- Experience with security, distributed systems, storage, ML/AI Ops, and large-scale observability is a plus.
- Build using Python, FastAPI, SQLAlchemy, Alembic, and modern DevOps tools to develop scalable, reliable AI infrastructure.
- Implement best practices for ML/AI Ops, distributed computing, and scalable service orchestration.
Responsibilities
- Build & 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 tools to 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.
Other
- We are hiring multiple roles across different levels of seniority (3-10+ years of software engineering experience).
- Advocate for strong software engineering and DevOps practices, driving high coding standards and scalable architectures.
- Hybrid work environment – 3 days a week in our NYC office.
- If you’re a strong software engineer with a passion for building AI infrastructure, we’d love to hear from you.
- Apply now and help shape the future of AI-powered enterprise systems!
