# Customer Success Engineer - AI SaaS at Mercor in Mumbai,…

> Source: https://confidential.careers/job-detail/customer-success-engineer-ai-saas-mercor-mumbai

# Customer Success Engineer - AI SaaS

Mercor 

** Mumbai, India ** Full Time ** Engineering Jobs ** India ** Posted 5d ago

[Apply Now](https://confidential.careers/go/4500930) ** Save 

## Job Description

**About the job**

**Mercor** connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include **Benchmark**, **General Catalyst**, **Peter Thiel**, **Adam D'Angelo**, **Larry Summers**, and **Jack Dorsey**.

**Position:** Customer Success Engineer (India)
**Type:** **Contract**
**Compensation:** **$25,000–$35,000**
**Location:** **Remote**
**Commitment:** **Substantial overlap with Pacific Time (PT/PST)**

**Role Responsibilities**

- Investigate talent-reported issues end-to-end. Reproduce bugs, identify root causes, and separate UX friction, model edge cases, and system defects. 
- Debug across our AI + SaaS stack using telemetry, logs, network inspection, and database queries to understand production behavior. 
- Triage with sound judgment. Escalate true engineering issues and resolve others via configuration, prompt refinement, or clear user guidance. 
- Surface systemic patterns and product risks to engineering and product leadership. 
- Create clear documentation and runbooks to reduce repeat issues and improve resolution speed. 
- Communicate with precision, professionalism, and empathy. 

**Qualifications**

**Must-Have**

- Ability to debug web applications. 
- Degree in Computer Science, Software Engineering, or a related technical field from a top-tier institution or prior experience at a high-growth technology startup. 
- Experience building modern web applications (React, Node, Flask, Next.js, etc.) OR 2-5 years of experience supporting customers on such web applications. 
- Comfortable with AI systems. Experience with LLMs, agents, or generative models. 
- Experience exploring behavior of AI tools (fine-tuning, prompt chains, chain-of-thought debugging, or building agents). 
- Ability to understand model outputs, failure modes, hallucinations, and feedback loops. 
- Familiarity with modern AI APIs (OpenAI, Anthropic, etc.) or how agent frameworks (LangChain, AutoGPT, etc.) function is a plus. 

**Application Process (Takes 20–30 mins to complete)**

- Upload resume 
- AI interview based on your resume 
- Submit form 

**Resources & Support**

- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome 
- For any help or support, reach out to: support@mercor.com 

*PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.*

Posted August 19, 2026