Mercor
Software Engineer, Enterprise Applied AI
San Francisco$130k–$500kfulltimemidAdded 2 weeks ago
About this role
Mercor is seeking a Software Engineer specializing in Applied AI to join their Enterprise team in San Francisco. The role involves collaborating with enterprise clients to develop and implement technical solutions that enhance the value of Mercor's AI platform.
What you'll do
- Engage with enterprise customers to clarify technical and business needs
- Design and implement custom integrations and APIs
- Deploy scalable solutions in client environments
- Create internal tools to facilitate future deployments
- Translate complex enterprise requirements into actionable technical plans
What they're looking for
- Proficient in a modern programming language (Python, Go, Rust, etc.)
- Experience with cloud deployments (AWS/GCP/Azure)
- Ability to communicate technical concepts to non-technical audiences
- Strong ownership mentality and autonomy in high-pressure situations
Benefits
- Bi-annual performance bonus
- Equity grant vesting over 4 years
- Up to $15k relocation bonus
- $10K housing bonus for nearby residents
- $1.5K monthly meal stipend
- Free Equinox membership
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
- Health, dental, and vision insurance
Opens the official application on the employer’s site. No login required.
Mercor
Mercor builds a marketplace platform connecting expert talent to AI opportunities, supported by identity infrastructure, matching algorithms, and internal tools for data management. The company is hiring Software Engineers, Machine Learning Engineers, Fullstack Engineers, and Security Engineers to develop backend systems, ML models, cloud infrastructure, and distributed platforms.
- Website
- mercor.io
Likely interview questions
- Walk us through a time you built and deployed a production system in a cloud environment. What challenges did you face and how did you solve them?
- Describe your experience architecting integrations or APIs. How do you approach designing systems that need to work across multiple platforms or stakeholders?