Mercor · AI infrastructure

Software Engineer, Enterprise Applied AI

  • San Francisco (On‑site), +1 more: New York
  • Full-time
  • $145,000 - $285,000 / year

Still open on Mercor's site · checked just now

Education
A degree
Posted
Visa & relocation
  • Mercor offers relocation support for this job

In the job ad:

“Up to $15k Relocation bonus”
See all jobs with visa or relocation support

What you'll do

As written by Mercor · Read the original

About the Role

As a Software Engineer, Applied AI on Mercor's Enterprise team, you'll operate at the intersection of engineering, product, and customer success. Engineers on this team are builders first, embedding directly with enterprise clients to design and implement technical solutions that unlock the full value of Mercor's platform while applying strong systems and product thinking where it matters. The work spans everything from architecting integrations and writing production-grade code to deploying scalable solutions in production environments, always tied closely to measurable business outcomes. You'll collaborate with customer stakeholders and internal teams to deliver systems that directly shape how AI-powered human intelligence integrates into complex enterprises.

You will

  • 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

What We’re Looking For

  • Computer Science background or a degree in a related field (Electronics Engineering, Physics, Mathematics, Statistics, etc.)

  • 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.

Skills

Stack

  • Python
  • Go
  • Rust
  • AWS
  • Google Cloud
  • Azure

Working languages

English

Salary & benefits

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

Company

Last checked . The details above were extracted automatically; the employer's original posting is the authority.

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