Senior Software Engineer - AI Detection, Scale & Impact

Pangram Labs; New York (NY); On-site; USD 185,000 - 225,000; Full time

Job summary

Pangram Labs is seeking a Senior Software Engineer to build product experiences for individuals and large organizations. You’ll own features end-to-end, collaborate with GTM, Product, and Research, and scale production systems handling high user growth.

This is a full-time, office-based role reporting to the CTO, based in our Brooklyn office (5 days per week). You’ll drive engineering best practices, participate in system design, and contribute to responsible AI initiatives.

Qualifications

• 6+ years of professional software engineering experience
• Strong skills in Python, React/Next.js/TypeScript, Django, RESTful APIs
• Experience with AWS services (EC2, ECS/EKS, RDS, S3, SQS, CloudFront, Lambda)
• Front-end and back-end comfort with strong skills in one
• Experience with AI coding tools and responsible AI awareness

Responsibilities

• Own and ship product features end-to-end for consumer and B2B verticals
• Collaborate with GTM, Product, and Research to bring Pangram’s machine learning technology to polished user experiences
• Own the reliability, performance, and observability of production systems
• Turn design specs and prototypes into shippable, working products
• Review code and raise the quality bar for code across the company
• Establish and improve engineering best practices across the stack

Skills

Python

React

Next.js

TypeScript

Django

RESTful APIs

Relational databases

Message queues

Caching

Async processing

AWS

Tools

EC2

ECS/EKS

RDS

S3

SQS

CloudFront

Lambda

Job description

Pangram Labs is seeking a Senior Software Engineer to build product experiences for individuals and large organizations. You’ll own features end-to-end, collaborate with GTM, Product, and Research, and scale production systems handling high user growth.

This is a full-time, office-based role reporting to the CTO, based in our Brooklyn office (5 days per week). You’ll drive engineering best practices, participate in system design, and contribute to responsible AI initiatives.