Collinear AI Logo

Collinear AI

Senior Backend Software Engineer

Reposted One Month Ago
Remote or Hybrid
2 Locations
130K-180K Annually
Senior level
Remote or Hybrid
2 Locations
130K-180K Annually
Senior level
The Senior Backend Software Engineer will design and scale backend systems using Python and FastAPI, collaborate with researchers, optimize infrastructure, and implement testing and monitoring systems.
The summary above was generated by AI

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.

HQ

Collinear AI San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

Yesterday
Easy Apply
Remote
United States
Easy Apply
173K-255K Annually
Senior level
173K-255K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Own and deliver highly available, low-latency backend identity systems supporting consumer onboarding, authentication, and verification. Lead quarterly team goals, guide engineers through ambiguous problems, collaborate with product and design partners, monitor system reliability, improve engineering standards, support on-call operations, and mentor team members. The role requires designing and launching distributed systems at scale using Python or Kotlin, AWS, MySQL, and Kubernetes.
Top Skills: AWSKotlinKubernetesMySQLPython
2 Days Ago
Remote
USA
Senior level
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and ship backend features end-to-end using Ruby on Rails and SQL. Lead complex technical projects, solve architecture challenges, establish standards, conduct meaningful code reviews, resolve high-risk bugs, document systems, collaborate across engineering teams, and mentor junior engineers.
Top Skills: RubyRuby On RailsSQL
7 Days Ago
Remote or Hybrid
San Francisco, CA, USA
165K-250K Annually
Senior level
165K-250K Annually
Senior level
Cloud • Digital Media • News + Entertainment • On-Demand
Design, build, deploy, and operate Philo’s scalable server-side ad insertion and programmatic advertising services. Develop resilient data pipelines, ad integrations, identity and measurement solutions, monitoring tools, and highly available microservices. Collaborate with ad ecosystem partners, video delivery, ad operations, data science, and business stakeholders to optimize ad delivery, reliability, performance, security, and compliance with industry standards.
Top Skills: C++Cloud ComputingData WarehousingDockerGoHeader BiddingHlsJavaKubernetesMicroservicesMpeg-DashNode.jsNon-Relational DatabasesOpenrtbPythonRelational DatabasesRubySsaiVastVmap

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account