Senior Ai Developer: Generative Ai On Azure & Scalable Solutions

Tata Consultancy Services Chile S.A.; Santiago; Teletrabalho; CLP 34 113 000 - 48 733 000; Tempo parcial

Resumo da oferta

Mercor is seeking a Customer Success Engineer (LatAm) for a remote contract role. You will debug, triage, and resolve issues in our AI+SaaS stack, working closely with product and engineering teams to improve resilience and user satisfaction.

The role requires 2–5 years of experience with modern web applications, familiarity with AI tools, and strong communication skills in a customer-facing capacity. Remote with substantial overlap with PT/Pacific Time is expected.

Qualificações

• Ability to debug web applications.
• Degree in Computer Science, Software Engineering, or related field.
• Experience building modern web apps (React, Node, Flask, Next.js).
• 2–5 years of experience supporting customers on web apps.
• Comfortable with AI systems, LLMS, agents, or generative models.
• Experience exploring AI tool behavior (fine-tuning, prompt chains, etc.).

Responsabilidades

• 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 behaviour.
• Triage with sound judgement. 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.

Conhecimentos

Debug web applications

AI systems understanding

Web app stack experience (React, Node,

Formação académica

Degree in Computer Science/Software Engineering

Ferramentas

OpenAI API

Anthropic API

Telemetry/Logging tools

Database queries

Descrição da oferta de emprego

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 (LatAm)
Type: Contract
Compensation: $35,000–$50,000
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 behaviour.
• Triage with sound judgement. 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.).
• 2–5 years of experience supporting customers on such web applications.
• Comfortable with AI systems . Experience with LLMs , agents, or generative models.
• Experience exploring behaviour 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.

Preferred

• Familiarity with how modern AI APIs work (OpenAI , Anthropic , etc.) or how