At Neuroscale, we’re building agentic infrastructure for AI systems that reason, evaluate, and act autonomously. Our flagship product, Arbi, gives recruiters superhuman powers — letting them instantly screen and evaluate thousands of candidates with accuracy, speed, and consistency. It’s like having a team of world-class interviewers in your corner 24/7.
We’ve shipped production-ready systems, built real traction, and assembled a strong engineering foundation. Now we’re looking to strengthen our backend team with someone who can architect robust systems, ship fast, and help us scale our infrastructure to meet growing demand.
The Role
We’re hiring a Senior Backend Software Engineer (Python) to join our growing backend team. You’ll work closely with AI engineers, frontend developers, and product leads to build scalable APIs and core services that power our agentic workflows.
You’ll help us expand our system capabilities, improve performance, and ensure our backend stack is rock-solid as we grow. The ideal person is comfortable building high-performance Python services, designing clean APIs, and making architecture decisions that stand the test of time.
What You'll Do & Own
Design, build, and maintain backend services using Python, FastAPI, and Django
Build and maintain SQL & NoSQL databases with PostgreSQL & MongoDB
Develop scalable, well-documented APIs used by frontend and AI components
Collaborate with AI/infra teams to integrate pipelines, model inference, and real-time data
Own backend performance, observability, and system reliability as we scale
Write clean, testable code and lead by example in reviews, design docs, and mentoring
Improve and optimize our data models, auth systems, and deployment pipeline
You Might Be a Fit If You...
Have 6+ years of professional experience building backend systems in Python/FastAPI
Have strong experience with frameworks like FastAPI, Django, or Flask
Know how to design APIs that are secure, fast, and easy to consume
Are comfortable working with relational databases (PostgreSQL preferred)
Are familiar with Docker, CI/CD, and modern DevOps workflows
Thrive in fast-paced environments with evolving requirements and high ownership
Bonus Points
Experience with authentication/authorization systems (OAuth, SSO, etc.)
Familiarity with async programming, background workers, or event-driven systems
Exposure to AI/ML pipelines, vector databases, or working with model inference services
Experience working on B2B SaaS products or enterprise platforms
Contributions to open source or a public GitHub you’re proud of
What’s in It for You
Join a tight-knit engineering team shipping ambitious, high-impact software
Work on products used by real-world recruiters, analysts, and decision-makers
Be part of a mission-driven company redefining how humans and AI collaborate
Competitive salary, meaningful early-stage equity, and flexible work arrangements
Fast-moving team, zero bureaucracy, and a strong culture of ownership and excellence
Photos of our HQ Campus in Northern Virginia (Near DC)