AI Engineer – Mid-Level

Distrito

. Design and develop LLM applications, including chatbots, copilots, and autonomous agents .

Posted 10/9/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing LLM applications, with a strong focus on integrating model APIs and optimizing performance in production environments. Proficient in backend development with Python or Node.js, and knowledgeable in cloud platforms and microservices architecture.

Highest-signal resume keywords

LLM SpecializationBackend Development with Python or Node.jsREST API KnowledgeCloud Platforms: AWS, GCP, or AzureAI Security Knowledge

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

LLM Application DevelopmentModel API IntegrationRAG Pipeline ArchitectureMemory ManagementContext ManagementEmbeddings ManagementDocker KnowledgeMicroservices KnowledgeVector Database KnowledgeCI/CD Knowledge

Soft Skills

Strong Organizational SkillsAttention to DetailClear CommunicationProactive Problem IdentificationSystems Thinking

Tools & Technologies

OpenAIAnthropicLangChainChromaOpenSearchMonitoring ToolsObservability Tools

Industry Keywords

AI SecurityPrompt InjectionContext ControlLoggingTracing

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformJavaScriptNode.jsPython

About the role

Key responsibilities & impact

Design and develop LLM applications, including chatbots, copilots, and autonomous agents
Integrate and orchestrate model APIs, such as OpenAI, Anthropic, and other providers
Architect RAG pipelines
Manage memory, context, and embeddings
Implement guardrails and response validation
Optimize latency and token costs
Configure monitoring and observability for production LLM systems
Collaborate with technical and analytics teams to identify and resolve bottlenecks
Lead the development of intelligent and scalable applications
Ensure reliability, security, and performance in production environments

Requirements

What you’ll need

Specialization in LLMs
Backend experience or knowledge with Python or Node.js
Knowledge of REST APIs
Knowledge of microservices
Knowledge of Docker
Knowledge of cloud platforms: AWS, GCP, or Azure
Knowledge of LangChain or similar frameworks
Knowledge of vector databases, such as Chroma and OpenSearch
Knowledge of AI security, including prompt injection and context control
Knowledge of logging, tracing, and observability
Knowledge of CI/CD
Strong organizational skills and attention to detail
Scalability-focused mindset
Systems thinking
Clear communication with technical and analytics teams
Proactive identification of bottlenecks
Commitment to quality and reliability

Benefits

Comp & perks

Meal and/or food allowance of R$950.00 per month on an iFood card
SulAmérica health insurance (100% paid by the company)
Odontoprev dental insurance
Pet health insurance
Life insurance
TotalPass and Wellhub memberships to support physical activities anytime, anywhere
Birthday day off
Partnership with Sesc
Partnership with OnHappy (discounts on hotels and flights)
Partnerships with educational institutions
Daycare reimbursement
Work equipment
Feedback-driven culture and development opportunities
Dynamic environment with significant growth opportunities
Payroll-deducted loan with some of the lowest interest rates
Variable compensation in recognition of performance, results, and cultural alignment