Member of Technical Staff, Mercor Enterprise Platform

About Mercor Mercor’s mission is to organize human intelligence for the AI economy. We build the infrastructure that enables frontier AI labs and enterprises to train, evaluate, and improve AI on real-world professional work. More than five million experts have joined our network, and we pay out over $5 million daily for their knowledge and expertise. We built our training and evaluation infrastructure alongside the world’s leading AI labs. Now, we’re bringing those capabilities to enterprises across industries, enabling them to train, evaluate, and improve AI using their own expertise and standards. Our APEX benchmarks measure how AI performs on economically valuable work, while our enterprise evaluations and post-training capabilities turn those insights into measurable improvements across real-world workflows. Our work sits at the intersection of frontier AI, human expertise, and real-world application. We’re solving problems few companies have encountered, with the opportunity to influence what the world’s most advanced AI systems become capable of doing. We’re looking for people who bring different perspectives, take ownership, exercise sound judgment, and hold themselves to an exceptionally high standard. You’ll have the opportunity to do consequential work alongside talented colleagues who challenge one another, collaborate openly, and share a commitment to excellence. Mercor is profitable and recently raised a $750 million Series D at a $20 billion valuation. We work in person five days a week in San Francisco, New York, and London. About the Role The Mercor Enterprise Platform is what enterprise customers and our Applied AI engineers use to build and run complex agents. It is both deployed into customer environments and hosted by us. It is also the central platform for every internal agent at Mercor, scaling to several thousand agent runs per day, and still growing. You will work across the full stack: enterprise-grade security and the routing plane, isolated execution, and the intelligence plane that turns production runs into improvements. This is a pure platform and infrastructure engineering role, though you will work closely with the Applied AI engineers embedded with our customers. The quality of this platform bounds what the business can sell. Nobody has settled how agent platforms should be built, and this is one of the few places that question is being answered in production, with economically viable agents as the bar. Tech we use: Go, TypeScript, Postgres, Kubernetes, Harbor, and Terraform. Read more about how we think about this: The Three Planes of Enterprise Agent Systems Responsibilities Design, build, and operate the services the platform is made of: authn and authz, credential brokering, routing, sandboxing, and orchestration. Design the interfaces other engineers build agents against, and keep the paved path the easiest one to follow. Build the event-driven backbone so that ingestion stays idempotent when services scale horizontally. Own the deployment model itself, from our hosted offering to customer VPCs and multi-cloud, so a new deployment needs no bespoke build. Keep tenants isolated by construction, so one run cannot reach or spend beyond its own quota. Own latency, throughput, and cost per run as volume grows, along with the production debugging that comes with them. Set the direction for the parts of the platform you own, not just the implementation. Partner closely with Applied AI engineers on the hardest problems coming out of deployments. They own the customer relationship, you own the platform. What We're Looking For Bachelor’s Degree in Computer Science or a related technical degree such as Electrical Engineering, Physics, Mathematics, Computer Engineering, Information Systems or Statistics 5+ years of experience building high scale, complex software systems You have built and operated a platform other engineers depended on, and owned the architectural calls on it rather than only the implementation. Hands-on with several of these primitives: authn and authz, secrets, isolation, orchestration, egress, and durable state, in more than one cloud. A drive to keep making systems faster and cheaper after they already work. Demonstrated ability to work independently on ambiguous, loosely specified problems. Bonus: experience with LLM applications, agent frameworks or harnesses, evals, or deployed software. Why Mercor Impact: Every agent Mercor runs for an enterprise customer runs on the platform you build. Learning: Depth in agent infrastructure, and the isolation problems that come with running other people's code. Growth: Deep ownership of platform surface area, with fast paths to owning more of it. Benefits Up to $15k relocation bonus $10K housing bonus (if you live within 0.5 miles of our office) $1.5K monthly stipend for meals Generous equity grant vested over 4 years Free Equinox membership $200 monthly laundry reimbursement $200 monthly personal wellness reimbursement Health, Dental, Vision insurance Mercor is an Equal Opportunity Employer and is committed to providing equal opportunity to all employees and applicants. Mercor does not discriminate based on actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, disability, protected medical condition as defined by California or local law, genetic information, or any other characteristic protected by applicable federal, California, or local laws and ordinances. Further, Mercor prohibits discrimination, harassment, and retaliation based on any combination of protected characteristics. This Policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination, and all other privileges, terms, and conditions of employment. This Policy and the law prohibit employment discrimination against any employee or applicant based on any legally protected status.