Distyl AI
About Distyl AI
Distyl AI develops 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 pioneering
AI-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 in
deep partnership with OpenAI , jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed by
Lightspeed, Khosla, Coatue,
industry leaders like
Nat Friedman
(former GitHub CEO), as well as
board members of over 20+ F500s , Distyl is building the future of AI-powered enterprise operations.
What You'll Do
As an
AI Platform Engineer,
you will help
design, 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 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. Advocate for strong software engineering and DevOps practices, driving high coding standards and scalable architectures.
Who We're Looking For
We are hiring multiple roles
across 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 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.
What We Offer
The opportunity to build
enterprise-scale AI infrastructure
used by Fortune 500 companies.
Work alongside top engineers, AI researchers, and enterprise experts in an
AI-native
company.
Competitive salary, benefits, and equity in a fast-growing startup.
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!
Distyl AI develops 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 pioneering
AI-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 in
deep partnership with OpenAI , jointly going-to-market at the largest enterprises and collaborating evaluating and testing the latest models. Backed by
Lightspeed, Khosla, Coatue,
industry leaders like
Nat Friedman
(former GitHub CEO), as well as
board members of over 20+ F500s , Distyl is building the future of AI-powered enterprise operations.
What You'll Do
As an
AI Platform Engineer,
you will help
design, 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 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. Advocate for strong software engineering and DevOps practices, driving high coding standards and scalable architectures.
Who We're Looking For
We are hiring multiple roles
across 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 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.
What We Offer
The opportunity to build
enterprise-scale AI infrastructure
used by Fortune 500 companies.
Work alongside top engineers, AI researchers, and enterprise experts in an
AI-native
company.
Competitive salary, benefits, and equity in a fast-growing startup.
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!