Tech Lead – AI Engineering

Cruzeiro do Sul Educacional S/A

. Technically lead the AI engineering team, defining architecture, standards, and best practices .

Posted 10/20/2026full-timeSão Paulo • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI engineering leadership, focusing on architecture, best practices, and the development of LLM solutions. Proficient in Python and Java, with a strong emphasis on security, compliance, and collaboration across technical teams.

Highest-signal resume keywords

AI Engineering LeadershipPython ProficiencyJava ProficiencyRAG ImplementationObservability for LLM Applications

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI/LLM SolutionsAPIsAutomated TestingCloud ArchitectureAgent OrchestrationFunction CallingTool IntegrationAuthentication and AuthorizationFine-Tuning Models

Soft Skills

Strong Communication SkillsProduct-Oriented MindsetMentoring

Tools & Technologies

OAuth 2.0OpenID ConnectJWTVector DatabasesHybrid SearchMCP

Industry Keywords

EducationEdTechAI GovernanceResponsible AI PracticesBrazil's LGPDCNE GuidelinesMEC Reference Framework for AI in EducationOWASP Guidance for LLMs

Tech Stack

Tools & technologies

AngularFlutterJavaPython

About the role

Key responsibilities & impact

Technically lead the AI engineering team, defining architecture, standards, and best practices
Design and deliver solutions using LLMs, RAG, agents, and integrations with institutional systems
Define continuous quality evaluation strategies, including test datasets, LLM-as-judge, and regression monitoring
Build the LLMOps platform, including observability, cost and latency control, caching, and model fallback
Ensure security and privacy, including prompt-injection mitigation, data-access controls, guardrails, and compliance with Brazil’s LGPD, CNE guidelines, the Brazilian Ministry of Education (MEC) Reference Framework for AI in Education, and OWASP guidance for LLMs
Choose between prompting, RAG, fine-tuning, and third-party APIs based on cost, risk, and benefits
Collaborate with product, data, architecture, security, and legal teams
Conduct technical reviews, mentor team members, and support their professional development

Requirements

What you’ll need

Education: Bachelor’s degree completed
More than 4 years of experience in software engineering, including at least 2 years working with AI/LLM solutions in production
Previous experience leading technical teams or projects
Strong proficiency in Python and Java, including APIs, queues, automated testing, and cloud architecture
Hands-on experience with RAG, including embeddings, vector databases, hybrid search, and reranking
Experience with agent orchestration, function calling, and tool integration, including MCP
Experience evaluating and implementing observability for LLM applications
Experience with authentication and authorization using OAuth 2.0, OpenID Connect, or JWT
Strong communication skills and a product-oriented mindset
Preferred: experience in education or EdTech
Preferred: experience fine-tuning models and hosting open models
Preferred: experience with Angular or Flutter for assistant interfaces
Preferred: knowledge of AI governance and responsible AI practices

Benefits

Comp & perks

This position is also open to applicants with disabilities
Working hours: 9:00 a.m. to 7:00 p.m., Monday through Friday (220 hours per month)