Why This Job is Featured on The SaaS Jobs
This backend engineering role sits at an increasingly important intersection in SaaS: operational platforms that turn product and customer activity into reusable knowledge and automation. The remit—building a model-powered knowledge system used across internal and external workflows—signals a platform-oriented environment where reliability, data shape, and API design determine how quickly teams can operationalise AI capabilities at scale.
For a SaaS career, the durable value here is learning how “internal SaaS” platforms are built and governed: service boundaries, data contracts, and iteration loops with real users who depend on the system daily. Experience integrating structured data for downstream automation, and designing services that can evolve as products and customers change, transfers directly to modern SaaS domains like support tooling, analytics infrastructure, and AI-enabled operations.
This role tends to suit engineers who prefer building foundational primitives over one-off features, and who enjoy close collaboration with product and research counterparts to translate ambiguous workflows into dependable systems. It also fits someone motivated by long-term maintainability—shipping iteratively while keeping architecture coherent—as well as engineers curious about how AI models are embedded into production-grade backend services.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the Team
The Knowledge Innovation team is scaling OpenAI with OpenAI. We are building a model powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains.
The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale.
About the Role
We’re looking for a Backend Software Engineer to help architect and scale the infrastructure that powers our knowledge systems. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI.
In this role, you will:
Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems
Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.
Collaborate closely with product, research, and engineering teams to integrate OpenAI models into high-leverage workflows
Own the full development lifecycle of new backend systems and internal platform capabilities
Build with scale and maintainability in mind, while rapidly iterating on new ideas
You might be a great fit if you have:
4+ years of backend engineering experience at product-driven companies (excluding internships)
Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and Postgres
Experience designing and scaling distributed systems, APIs, or data processing pipelines
A pragmatic mindset. You’re comfortable shipping iteratively while building toward a long-term vision
An interest in structured knowledge representation, internal search, agent infrastructure, or systems that evolve over time
Curiosity about AI/ML and excitement to work alongside world-class research and product teams (hands-on experience is a bonus, not a must)
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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