Senior Software Engineer (Backend)
Company: Pangram Labs
Location: New York, NY
Salary: $190,000 - $220,000 a year
Type: Full-time
Posted: 2026-04-07
About this role
About Pangram Labs
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.
About the 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.
What You'll Do
- Design and implement scalable backend services and APIs to serve AI detection capabilities at scale
- Own the reliability, performance, and observability of production systems
- 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
Requirements
- 5+ years of professional software engineering experience, with a strong backend focus
- Proficiency in Python and Django (or comparable Python web frameworks)
- Deep understanding of backend architecture patterns: RESTful API design, relational databases, message queues, caching strategies, and asynchronous task processing
- Hands-on experience with AWS services (e.g., EC2, ECS/EKS, RDS, S3, SQS, CloudFront, La...