Mercor Logo

Mercor

Software Engineer, Enterprise Applied AI

Reposted 8 Days Ago
In-Office
San Francisco, CA, USA
Mid level
In-Office
San Francisco, CA, USA
Mid level
As a Software Engineer, Applied AI, you'll architect and implement integrations and scalable solutions for enterprise clients, focusing on technical requirements and business goals.
The summary above was generated by AI
About Mercor

Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.

 

Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.

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.

What We’re Looking For

  • 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.

Why Mercor

  • Impact: Your work defines how leading enterprises deploy AI-powered human intelligence systems.

  • Learning: Gain deep exposure to real-world applications of AI across industries and use cases.

  • Growth: Work across engineering and product with fast paths to ownership.

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

HQ

Mercor San Francisco, California, USA Office

San Francisco, California , United States, 94105

Similar Jobs

An Hour Ago
Hybrid
San Francisco, CA, USA
99K-232K Annually
Senior level
99K-232K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead provider clinical operations consulting engagements for health services clients: analyze operations, identify improvements, implement process and performance solutions, manage client relationships, mentor teams, ensure data integrity and compliance, and deliver strategic, technology-enabled transformation to drive operational excellence.
An Hour Ago
Hybrid
5 Locations
99K-232K Annually
Mid level
99K-232K Annually
Mid level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead Salesforce CPQ and Revenue Cloud engagements: analyze client needs, design and implement tailored Salesforce solutions, manage project architecture and budgets, train and mentor teams, validate deliverables, and drive technology innovation to meet strategic objectives.
Top Skills: Revenue CloudSalesforce AdministrationSalesforce CpqSalesforce LightningService Cloud
An Hour Ago
Hybrid
San Francisco, CA, USA
124K-280K Annually
Senior level
124K-280K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead AI-enabled cybersecurity strategy, transformation, and engineering engagements. Design and architect generative/agentic AI solutions, build AI-powered threat models and governance, manage teams and client relationships, and implement enterprise cyber risk controls to scale security capabilities.
Top Skills: Amazon BedrockAWSAws Boto3GCPGoogle Vertex Ai SdkLangchainPython

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account