Software Engineer, Applied AI - Environments Platform

The role

You will own the pipelines that deliver environments to labs and design the core environment runtime. You will build services, APIs, and integrations, as well as harnesses for running agents. The role involves building for scale and reliability in pipelines and job systems.

What you will do

• Own pipelines that take an environment from authoring to a lab's hands
• Design, build, and operate the core environment runtime
• Build services other teams at Mercor use to run environments
• Build and extend the harnesses that run agents inside environments
• Own features end to end from scoping to production
• Work on modern cutting edge tools, libraries and frameworks
• Build for scale and reliability in pipelines and job systems
• Participate in on-call for the systems you own
• Work with product, operations, and research partners

Required qualifications

• 3+ years building and operating production backend or infrastructure systems
• Strong fundamentals in data structures, concurrency, distributed systems, and quality code contributions
• Hands-on API design with understanding of versioning and backward compatibility
• Solid relational database skills including data modeling, query performance, and safe migrations
• Deep comfort with containers and Linux including image builds, isolation, networking, and debugging at scale
• Experience running workloads on Kubernetes or a serverless container platform like Modal
• Experience running services in production including containers, CI/CD, monitoring and alerting, and debugging under real traffic
• Clear written and verbal communication

Nice to have

• Experience with agent harnesses, RL environments, or evaluation infrastructure
• Experience with workflow orchestration systems like Temporal, Airflow, or Dagster
• Experience building or integrating with LLM-backed services in production
• Familiarity with sandboxing and microVM runtimes such as gVisor, Firecracker, or Kata
• Terraform or other infrastructure as code
• Production experience on more than one cloud

Benefits

• Bi-annual performance bonus structure
• Generous equity grant vested over 4 years
• Up to $15k Relocation bonus
• $10K housing bonus if you live within 0.5 miles of our office
• $1.5K monthly stipend for meals
• Free Equinox membership
• $200 monthly laundry reimbursement
• $200 monthly personal wellness reimbursement
• Health, Dental, Vision insurance

About the company

Mercor builds infrastructure that enables frontier AI labs and enterprises to train, evaluate, and improve AI on real-world professional work. The company is profitable and recently raised a $750 million Series D at a $20 billion valuation.