• Build and ship full-stack product features across a Python/Flask backend and React frontend. • Design and evolve REST and GraphQL APIs, working closely with product and other engineering teams to define clean, durable interfaces. • Work with SQLAlchemy ORM and relational data models to build reliable, performant backend services. • Contribute to our growing LLM-powered feature set - building integrations with AI models, designing prompts and pipelines, and thinking carefully about quality and reliability in AI-assisted workflows. • Communicate trade-offs and provide feedback on code and implementation decisions to peers as part of everyday development • Collaborate with design, product, and other engineers to deliver high-quality work end-to-end.

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Software Developers Type: Contract Compensation: $70–$100/hour Location: Remote Role Responsibilities - Develop and enhance software solutions with a focus on AI model training, evaluation, and improvement. - Collaborate with AI research teams to improve training data quality and model outputs. - Work independently and asynchronously to meet deadlines while enhancing AI model performance. - Utilize technical skills and tools such as Python, AWS, and Docker to deliver high-quality software solutions. Qualifications - 4+ years of experience in software development. - Proficiency in Python and experience with AWS. Company Description For details about the interview process and platform information, please check: Interview Process For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Role Description Lead architecture decisions across frontend, backend, data, and infrastructure for a multi-tenant SaaS product. Balance configurability with maintainability. - Build admin-managed configuration for fee models, reporting periods, escalation rules, and integrations. Ensure no code changes are required per tenant. - Design and maintain RBAC across distinct user populations with separate permission matrices per portal. - Develop fee calculation engines supporting percentage, flat, capped, and tiered models. Deliver audit-ready exports at penny-level precision. - Implement payment lifecycle tracking, cash reconciliation, and exception handling against external payment systems. - Integrate payment processors, procurement ERPs, CRM systems, and notification services into a cohesive platform. Qualifications - Must-Have: - 5+ years of professional full-stack engineering experience. - 2+ years as a lead or sole developer on a production SaaS product. - Experience building multi-tenant SaaS with tenant-level configurability. - Developed role-based access control spanning internal operators, vendors, and customers. - Built fee calculation engines and payment lifecycle tracking. - Integrated payment processors, procurement ERPs, and CRM systems. - Strong written and verbal communication skills. - Preferred: - Experience with government procurement or regulated financial compliance. - Familiarity with government payment gateways. - BI embedding experience with row-level data isolation across tenants. - Experience exposing platform functionality through a typed SDK or API. Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome - For any help or support, reach out to: support@mercor.com - PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

• Conceptualize and co-develop software and AI-powered products • Design scalable application and system architectures • Build MVPs and production-grade platforms • Contribute technical leadership and product direction • Participate in innovation strategy and technical decision-making • Support products from ideation through launch and scaling