Base Career helps you apply smarter for this job.
Key skills for this role
We are looking for a backend-focused Senior Software Engineer to design, build, and scale the production systems that serve our core technology to a rapidly growing user base.
You will own the backend infrastructure that powers Pangram's AI detection platform. This is a senior, high-autonomy role: you'll make architectural decisions, solve hard scaling problems, and ensure our systems are reliable and performant as demand grows. You'll work across our Django backend and AWS infrastructure, collaborating closely with our frontend and machine learning teams.
Pangram Labs’ mission is to protect authenticity by building the world’s best AI detection systems. We publish research on state-of-the-art AI detection techniques and algorithms, and build products to bring our technology into people's daily lives.
We are looking for high agency, mission-driven, and passionate builders to join our team. All roles are in person in Brooklyn, New York.
We are looking for a backend-focused Senior Software Engineer to design, build, and scale the production systems that serve our core technology to a rapidly growing user base.
You will own the backend infrastructure that powers Pangram's AI detection platform. This is a senior, high-autonomy role: you'll make architectural decisions, solve hard scaling problems, and ensure our systems are reliable and performant as demand grows. You'll work across our Django backend and AWS infrastructure, collaborating closely with our frontend and machine learning teams.
Design and implement scalable backend services and APIs to serve AI detection capabilities at scale
Own the reliability, performance, and observability of production systems
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
New York City, USA
New York City, USA
New York City, USA
New York City, USA
New York City, USA
New York City, USA
New York City, USA
New York City, USA
Architect and maintain data pipelines, caching layers, and service infrastructure on AWS
Collaborate with ML engineers to deploy and serve machine learning models in production
Identify and resolve bottlenecks across the stack as traffic and complexity increase
Establish and improve engineering best practices around testing, deployment, and incident response
Experience with containerization (Docker) and container orchestration (Kubernetes)
Familiarity with CI/CD pipelines and infrastructure-as-code tools (Terraform, CloudFormation, or similar)
Experience with monitoring and observability tooling (e.g., Datadog, Prometheus, Grafana, ELK)
Experience deploying and serving deep learning models in production (model serving frameworks, GPU infrastructure, batch vs. real-time inference)
Familiarity with React or frontend technologies sufficient to collaborate effectively across the stack
Private AI research lab providing AI-generated-content detection and plagiarism tools to educators, publishers, enterprises, and platforms.
Visit company websiteJobs and hiring trendsUSD 190000-220000 yearly / year
Full-time
Senior · 5+ years experience
Onsite
Apply faster on company sites with our extension.