The Role Build and operate Affirm's AI platform, including LLM and MCP gateways, agent runtimes, evaluation services, and governance controls. Design highly available backend systems, manage identity, quotas, routing, caching, reliability, observability, and security for AI workloads. Own projects from design through launch and on-call, establish engineering standards, collaborate across teams, mentor engineers, and help scale AI systems into production. Summary Generated by Built In At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm's engineering team is building a large-scale, fault-tolerant, and global infrastructure that is shared across multiple financial products, merchants, and vendors. Ensuring that our infrastructure is transparently available to all engineers is critical to the success of the business. We pride ourselves on our culture across engineering of writing blameless postmortems as well as writing detailed tech specs and gathering feedback before large changes to systems. The AI Platform team owns Affirm's paved path for building, running, evaluating, and governing AI systems. Our customers are not only Affirm users, but also every engineer and a growing set of production workloads at Affirm. As a team, we are responsible for building and exposing simple, governed interfaces to models, tools, and agents, with identity, cost attribution, reliability, and security built in. Examples of components we own include the LLM Gateway that fronts every approved model (Claude, ChatGPT, and open-weight models across AWS Bedrock and other providers), the MCP Gateway that mediates and audits tool calls, the Agent Runtime that gives agentic workloads bounded execution, and the evals and observability layer that tells teams whether an AI change is better, cheaper, or safe to ship.

We are early:

the gateway is in daily use across engineering, the first production agent is live, and the next year takes us from developer productivity to production inference and agents. What You'll Do Plan, execute, and own technical decisions and projects within the AI Platform team, from design through launch and on-call. Design and build the gateway, runtime, and evaluation services that take AI workloads at Affirm from pilot to production, securely scaling across millions of users and their transactions. Make AI spend attributable and governable: build the identity, quota, routing, caching, and failover controls that let teams adopt new models and tools without re-solving the same platform problems. Partner with security, infrastructure, and product engineering teams to set the guardrails for agentic workloads and the on-behalf-of identity model for tool access. Create and monitor metrics for your team's systems, and own the operational health of what you ship: monitoring, alerting, runbooks, and on-call. Set and improve code review and design standards, and advocate for them beyond your team through writing and tech talks. Use AI tools and agentic workflows every day as a multiplier for your own code, design review, and operations, and push the team on what a small AI-native team can deliver. Educate, mentor, and grow engineers in the team, and drive best practices around design, coding, and testing. What We Look For You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. You have practical experience building with LLMs, agents, or AI frameworks in production: inference APIs, LLM gateways (LiteLLM or similar), MCP, tool calling, evals, or agent runtimes. You understand AI usage and the infrastructure needed to support and leverage AI workloads across different disciplines. You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor's degree in a related field. Pay Grade - N Equity Grade - 9 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $ 195,000 - 255,000 USA base pay range (all other U.S. states) per year: $173,000-233,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility.

Here are a few highlights:

Health coverage at no cost: We cover 100% of premiums for employees and their dependents.

Spending stipends:

Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.

Time off to recharge:

Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We're committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we're happy to help. For positions based in

San Francisco or Los Angeles:

Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described. Read Full Description Skills Required 4+ years of experience designing, developing, and launching backend systems at scale Experience using Python or Kotlin Experience developing highly available distributed systems Experience with AWS, MySQL, and Kubernetes Production experience with LLMs, agents, or AI frameworks, including inference APIs, LLM gateways, MCP, tool calling, evals, or agent runtimes Understanding of AI usage and infrastructure supporting AI workloads Experience defining technical plans and designing significant, elegant, simple, and extensible systems Ability to make significant changes safely in a large codebase Strong verbal and written communication skills Equivalent practical experience or a Bachelor's degree in a related field What the Team is Saying Nupur Senior Director, Product Management I joined the company in 2014, and I was lucky to be an early employee and see the company grow through so many different stages. It's just unreal when you have a job that actually makes a difference in the world. Nupur Senior Director, Product Management I joined the company in 2014, and I was lucky to be an early employee and see the company grow through so many different stages. It's just unreal when you have a job that actually makes a difference in the world. Jerry Manager, Machine Learning Engineering I'm really aligned to the mission of Affirm because I experienced a lot of issues that Affirm was built for, to fix for…we build machine learning models to help our customers' financial journey, to improve their financial lives. Adam Senior Technical Sourcer People Come First, is a core value shown everyday in the products we create and the teams creating them. Who you work with and what you work for makes all the difference. I'm proud to be part of Affirm's journey as we look to grow the future of finance. Max Levchin CEO Financial Services is an industry that is literally the single largest industry in the world, and yet, a rough estimate 99% of people working in it aren't very proud of what they do. I think Affirm is distinguished in a sense that all of us here are very proud of not just what we do but how we do it. Affirm We believe great talent isn't tied to one location. You'll have the flexibility to work from wherever you do your best, with the tools and support to thrive from anywhere. Affirm We invest in our Affirmers' futures through comprehensive skill and leadership development programs, professional coaching, and internal mentorship opportunities. Whether you are an individual contributor or a seasoned leader, we want to see you succeed. Affirm We understand the importance of holistic well-being. Affirm provides comprehensive benefits, including medical, dental, and vision insurance, robust mental health support programs, and generous time off. We also support growing families with competitive parental leave benefits and provide support for family journeys. Becca Maldonado Executive Assistant The remote first culture here has just really offered me the chance to really create balance in my life. Elan Rice Operations Risk Specialist My first real mentor was my first boss. When I joined Affirm when Black@, the Black employee resource group, was founded, she made it a point to say we're always going to protect that time for you to go to that meeting. She was essentially signaling to me that "It's important to me that you find community." Kellee Van Horn VP Revenue Operations Analytics & New Markets Affirm's company culture is energetic, lots of very smart people, highly collaborative. People that thrive the most here are the people that run at the problem. Kellee Van Horn VP Revenue Operations Analytics & New Markets There have been several leaders who have invested in me, who've coached me, who've given me feedback to make me better. I am successful at Affirm because there are people that are invested in me being successful. Matt Banach Director, Engineering Everyone here has really strong ownership over what they're responsible for and a bias for action. That sort of culture is refreshing but also invigorating. Matt Banach Director, Engineering The most important thing I do is help identify people who are eager and want to grow and give them my time—the feedback, the coaching, the mentorship. Jiarui Xu Staff Machine Learning Engineer My favorite part of the Hackathon is to be able to talk to people from different teams and hearing what they want to build and get inspirations from each other. Parsa Tajik Software Engineer The things that I've learned throughout the hackathon process has been you know just like building things super fast and working better with the teammates. Since I'm new, it's been great to just learn more about the people that I'm working with. Josh Hicks Software Engineer It was great getting to be a part of such an amazing company. My team is amazing, and it felt fantastic getting to contribute to a project with such a huge impact. View all jobs at Affirm View Affirm Profile Report Job