LiteLLM

Senior Support Engineer - Brazil

LiteLLM2 days ago
Location

Sao Paulo

Workplace

Remote

Type

Full Time

Salary

BRL 60,000 – 95,000

Level

Senior

Role

Support Engineer

Posted

Jul 23, 2026

Full TimeRemoteSenior

The role

Summary

Senior Support Engineer at LiteLLM, a leading AI Gateway platform trusted by companies like Adobe, Netflix, and NASA. This technical support role focuses on diagnosing and resolving customer issues at their root cause while serving as the technical voice for customers back to the engineering team. The ideal candidate combines deep technical expertise with a passion for customer success and operates in a fast-paced environment managing high-volume support queues.

What you'll do

Support Queue Management: Own and manage the complete support queue, working through customer tickets systematically to drive product adoption and customer success. Process high volumes of tickets with attention to detail while maintaining quality standards and response times.
Root Cause Diagnosis and Resolution: Dig deeply into customer issues to identify underlying problems rather than applying surface-level fixes. Use systematic troubleshooting methodologies to understand the technical context of each issue before implementing solutions.
Environment-Specific Issue Reproduction: Reproduce and validate customer-reported issues within their specific environments and configurations. Set up test scenarios that match production conditions to ensure comprehensive understanding of problems before escalation.
Code-Level Contributions: Submit pull requests for bug fixes, improvements, and feature enhancements identified through customer support interactions. Contribute directly to the LiteLLM codebase by translating customer feedback into concrete engineering solutions.
Customer Advocacy: Serve as the technical voice of customers within the engineering organization. Communicate customer pain points, feature requests, and technical insights to the product and engineering teams to inform prioritization and development roadmaps.

What we look for

Technical

Large Language Model ExpertiseStrong familiarity with LLM concepts, architectures, and deployment patterns. Understanding of how language models function, their limitations, and integration challenges.
API Gateway Architecture KnowledgeDeep understanding of API gateway patterns, request routing, authentication, rate limiting, and proxy mechanics relevant to managing multi-provider LLM access.
Full Stack Debugging CapabilitiesAbility to diagnose issues across the entire technology stack including networking, authentication flows, API interactions, database queries, and client-side integrations.
Programming Language ProficiencyStrong experience with Python and/or JavaScript/TypeScript. Capability to read, understand, and modify production code to reproduce issues and contribute fixes.
Version Control SystemsProficiency with Git and GitHub workflows including branching strategies, pull request submission, and collaborative code review processes.

Education

Bachelor's Degree in Computer Science or Related FieldFormal education in Computer Science, Software Engineering, or a closely related technical discipline. Equivalent industry experience and demonstrated technical proficiency may substitute.

Experience

3+ Years in Technical Support or DevOpsProven track record in technical support roles, customer success engineering, or DevOps positions where diagnosing and resolving complex infrastructure issues was primary responsibility.
Experience with Developer ToolsBackground supporting or working with developer-focused platforms, APIs, or infrastructure tools. Understanding of developer workflows and pain points in technical decision-making.
Open Source Community InvolvementDemonstrated participation in open source projects, including issue diagnosis, pull request submissions, or community engagement. Experience collaborating in distributed technical communities.

Skills

Required skills

Root Cause AnalysisSystematic approach to problem-solving that identifies underlying causes rather than treating symptoms. Strong analytical thinking and debugging methodology.
Technical CommunicationAbility to clearly explain complex technical concepts to both engineers and non-technical stakeholders. Strong written communication for documenting issues and solutions.
Customer Empathy and AdvocacyDeep commitment to customer success with ability to understand business impact of technical issues. Capability to translate customer needs into actionable insights for product teams.
API and Integration TroubleshootingExpertise in diagnosing integration issues, authentication problems, rate limiting scenarios, and API endpoint complications specific to multi-provider LLM gateway contexts.
Python ProgrammingSolid working knowledge of Python for reading code, understanding LiteLLM internals, and contributing bug fixes and improvements to the codebase.
Database and SQL KnowledgeUnderstanding of database concepts, SQL query optimization, and troubleshooting data-related issues in production environments supporting LLM gateway operations.

Nice to have

Kubernetes and Container OrchestrationExperience with Kubernetes, Docker, or container deployment patterns. Understanding of how LiteLLM might be deployed in containerized environments.
JavaScript/TypeScriptFamiliarity with JavaScript or TypeScript for understanding client-side integrations and troubleshooting issues across Node.js-based implementations.
OpenAI API and LLM Provider IntegrationPrior experience working with OpenAI, Claude, Gemini, or other LLM provider APIs. Understanding of authentication, pricing models, and integration quirks across different providers.
Monitoring and Observability ToolsExperience with monitoring platforms, logging systems, and observability tools like Datadog, New Relic, or ELK stack for understanding system behavior and performance.
Brazilian Portuguese Language SkillsFluency in Brazilian Portuguese for communicating with local customers and internal teams. Advantage for regional customer support and community engagement.
Linux System AdministrationComfort with Linux command-line tools, log analysis, and system-level troubleshooting relevant to gateway server deployments.

Compensation & benefits

Salary

BRL 60,000 – 95,000 (annual)

Benefits

Fast-Paced Growth Environment

Work at a rapidly expanding company serving Fortune 500 customers like Adobe, Netflix, and NASA. Experience dynamic product development and scaling challenges in the AI infrastructure space.

Deep Technical Ownership

Direct influence over product direction through customer feedback and bug identification. Opportunities to contribute code to a widely-used open source project affecting thousands of developers.

Competitive Compensation

Market-competitive salary aligned with senior technical support engineering standards in Brazil's tech market.

Open Source Impact

Contribute directly to one of the world's most popular AI gateway projects with visibility across the global developer community and potential for professional recognition.

Strategic Product Input

Serve as the bridge between customers and engineering. Your insights directly influence product roadmap priorities and feature development decisions.

Interview process

  1. 1
    Initial Screening Call — 30-minute conversation with recruiting team to assess background, motivation, and alignment with the role. Discussion of technical experience and interest in developer tools and LLM ecosystems.
  2. 2
    Technical Assessment — Take-home or live technical exercise demonstrating debugging skills, API troubleshooting capabilities, and ability to read and understand Python code related to gateway concepts. Assessment focuses on root cause analysis methodology.
  3. 3
    Support Scenario Deep Dive — Interview with current support or engineering team member presenting real customer support scenarios. Candidates walk through their diagnostic approach and demonstrate how they would reproduce, analyze, and resolve complex issues.
  4. 4
    Customer Advocacy Discussion — Conversation with product or engineering leadership to discuss how candidates would communicate customer pain points, prioritize customer needs, and influence product decisions from a support perspective.
  5. 5
    Final Round Offer — Offer stage discussion with hiring manager covering compensation, benefits, start date, and expectations for onboarding into the support and engineering teams.
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LiteLLM

LiteLLM

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LiteLLM is a platform that provides a unified interface for accessing multiple large language models (LLMs) from different providers. The company offers tools and infrastructure that enable developers and organizations to seamlessly integrate various AI models into their applications while managing costs, performance, and deployment complexity. LiteLLM operates in the artificial intelligence and developer tools market, serving businesses that need flexible access to different language models without being locked into a single provider's ecosystem.

litellm.ai

Tech Stack

Languages
PythonJavaScript/TypeScript
Frameworks
FastAPIOpenAI Python SDK
Databases
PostgreSQLRedis
Tools
GitHub/GitDockerPostman/cURLJira or Linear
Other
REST API ArchitectureOAuth2 and API AuthenticationLLM Provider IntegrationsObservability and Monitoring
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