AI Product Engineer
Build agentic capabilities on a petabyte-scale observability platform. Own the full agent stack including context engineering, tool design, evals, and production reliability for incident investigation.
Software Engineer, Applied AI
Builds and deploys custom integrations, APIs, and scalable solutions for enterprise clients using Mercor's AI platform. Requires strong engineering skills in modern languages and cloud environments, with customer-facing experience.
130k – 500kSan Francisco, CAML EngineeringOnsite
About the role
Responsibilities
- Embed with enterprise customers to understand technical requirements and business goals.
- Architect and implement custom integrations, APIs, and workflows on top of Mercor’s platform.
- Deploy scalable solutions in client environments and drive successful launches and expansions.
- Build internal tools and reusable components that accelerate future deployments.
- Translate ambiguous enterprise needs into clear technical plans and shipped systems.
Requirements
- Strong software engineering fundamentals in at least one modern language (Python, Go, Rust, etc.).
- Experience building and deploying production systems in cloud environments (AWS/GCP/Azure).
- Comfort working directly with customers and explaining technical concepts to non-technical stakeholders.
- High ownership mindset with the ability to navigate ambiguity and operate autonomously in high-stakes environments.
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
Skills
PythonGoRustAWSGCPAzureAPIsCloudIntegrationsProduction Systems
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