Software Engineer, Platform
Builds secure, scalable backend systems for contracts, payouts, fraud detection, and identity/access management on Mercor's AI platform. Requires 4+ years experience with production systems at scale and strong ownership.
Builds scalable agentic products including LLM agents, RL environments, full-stack interfaces, and orchestration pipelines for AI model training and automation. Works cross-functionally on automation and evaluation platforms using Python, React, and AI tools.
Backend: Python, FastAPI, Django, Pydantic
Frontend: Next.js, React, TypeScript, Tailwind
Data: PostgreSQL, MySQL, Snowflake, DuckDB, Redis
Orchestration/Infra: Kubernetes, Temporal, Modal, Woz
Agents/LLM: LangGraph, LangChain, FastMCP, Harbor, NemoGym
Observability: Datadog, PostHog, LangSmith
Builds secure, scalable backend systems for contracts, payouts, fraud detection, and identity/access management on Mercor's AI platform. Requires 4+ years experience with production systems at scale and strong ownership.
Builds backend systems for fraud detection, identity verification, and abuse prevention at scale. Partners with product/engineering on roadmaps; requires 4+ years software engineering experience, strong backend fundamentals, and autonomous problem-solving in ambiguous spaces.
Builds and maintains a production GraphQL API modeling complex, nonlinear mortgage processes. Designs event-driven systems, semantic models, and developer-friendly abstractions using TypeScript, NestJS, and Temporal.io.
Builds backend systems to automate mortgage underwriting by encoding regulatory rules into precise, AI-enhanced code. Collaborates with experts using TypeScript, NestJS, GraphQL, and custom DSLs for high-stakes lending decisions.