Senior Backend Software Engineer

About the role

About the Company

Born from the understanding that AI deployment shouldn't require months of preparation or compromise on quality, we've built a comprehensive platform that turns your brand values into production-ready AI applications in days, not months .

Our product is AI Judges that are trained with proprietary auto-align technology and powered by state-of-the-art research on Alignment and RL. We help companies build AI systems that aren't just safe and reliable, but truly aligned with their brand values and business objectives.

Backed by top-tier Silicon Valley venture capital firms, we're on a mission to make safe, reliable, and highly-performant frontier AI for enterprise use-cases a reality.

Join us in pushing the boundaries of what's possible in AI! Learn more about the company here.

About the Role

We're looking for a Senior Backend Software Engineer to help shape the infrastructure behind cutting-edge LLM alignment. You’ll design the systems that transform research breakthroughs into real-world products, fast, reliable, and built to scale.

This isn’t just another backend role. You'll be working hand-in-hand with researchers and product teams to bring alignment workflows to life, build internal tools for experimentation, and power the next generation of enterprise LLM customization. If you’re excited by the idea of building something novel from the ground up and leaving your fingerprints on a rapidly evolving space, we’d love to meet you.

What You’ll Do

Design, build, and scale backend systems using Python and FastAPI

Architect robust APIs and services to support our alignment workflows and customer-facing tools

Optimize infrastructure for performance, latency, and scale

Collaborate with researchers and ML engineers to integrate models and support experimentation

Build tooling to evaluate and visualize model behavior

Implement testing frameworks, CI/CD pipelines, and monitoring systems

Work across SQL/NoSQL databases, designing efficient schemas and data pipelines

Contribute to a strong engineering culture and help define backend best practices

Stay current with backend trends and emerging technologies

What We’re Looking For

5+ years of backend engineering experience, ideally at startups or fast-paced teams

Strong proficiency in Python (FastAPI or similar frameworks)

Experience designing APIs, microservices, and distributed systems

Hands-on experience with DevOps tools (e.g., Docker, Kubernetes, AWS, GitHub Actions)

Familiarity with data modeling, query optimization, and both SQL and NoSQL databases

Experience working closely with ML teams or building ML infrastructure is a plus

A bias for shipping, ownership, and thoughtful system design

Experience with Celery (or similar task queues) for async model workflows, including retries, scheduling, monitoring, and production ops.

Bonus: Interest in LLMs, post-training techniques (e.g., reward models, evaluation, data curation), or alignment research

Why Join Us

Shape the future of aligned AI at the infrastructure layer

Work alongside top researchers, engineers, and operators in a high-trust, low-ego team

Comprehensive health, dental, and vision coverage

Build meaningful systems with real-world impact and technical depth

This is a rare opportunity to join a small, high-performing team and help build something that matters. Let’s redefine what enterprise AI can be.

Posting text as published by Collinear AI.

The evidence behind this listing

Workplace

Remote Employer field

Seniority

senior From the job title

Employment type

full time

Location as listed

Remote, US

Pay and work authorization

Stated pay

Not stated

Visa sponsorship

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Security clearance

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