MercorSoftware Engineer, Enterprise Applied AI
Mercor is hiring a Software Engineer, Enterprise Applied AI in San Francisco, United States. It pays $145k-$285k a year and Level rates it ; you can apply on Mercor.
Level's read on this job
- Level rates this software engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Python, Go and Rust.
- Level classifies it as a mid-level role.
- Level lists 104 other open roles at Mercor.
AI in this role
Embed with enterprise clients to architect and deploy AI-powered integrations and custom workflows on Mercor's platform.
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
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.
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
How we rate this
Software Engineer, Enterprise Applied AI at Mercor rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- This job starts at
- $145k
- Typical software engineer job
- $168k
This posting starts 14% below the typical software engineer job. See software engineer jobs
Questions you could be asked
- Tell me about a project where applied ai was part of your work. What did you do?
- Tell me about a project where system integration was part of your work. What did you do?
- Tell me about a project where api development was part of your work. What did you do?
- Tell me about a project where enterprise software was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Applied AI, System Integration, API Development, Enterprise Software, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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