AI Engineering Specialist

Zup Innovation

AI Engineering Specialist defining architectural vision and leading cross-team AI development at Zup Innovation. Ensuring governance and cost-effectiveness in AI model deployment.

Posted 7/3/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in generative AI, large language models, and natural language processing, with a strong focus on backend development and AI engineering frameworks. Capable of leading cross-team initiatives and ensuring governance of AI models while balancing technical and economic factors.

Highest-signal resume keywords

Generative AI ExperienceLarge Language Models ExpertiseBackend Development (Python)AI Engineering Frameworks DesignAWS Cloud Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Natural Language Processing (NLP)Vector DatabasesPrompt EngineeringContext EngineeringMicroservicesEvent-Driven ArchitecturesModel BenchmarkingCI/CD PipelinesSpec-Driven Development (SDD)Intent Development

Tools & Technologies

LangGraphLangChainSemantic KernelStrandsCrewAIAutogen

Industry Keywords

AI Engineering StandardsCross-Team CollaborationGovernance of AI ModelsHarness EngineeringMulti-Agent Workflows

Tech Stack

Tools & technologies

AWSCloudPython

About the role

Key responsibilities & impact

Define the long-term architectural vision and AI engineering standards for high-criticality, system-level products.
Lead the evangelism, design, and structuring of a cross-team native AI development ecosystem, including scalable SDD (Spec-Driven Development), Intent Development, and Harness Engineering practices.
Ensure technical and economic governance of AI models, balancing token costs, latency, security (corporate guardrails), and data privacy.

Requirements

What you’ll need

Proven experience in generative AI, large language models (Claude, GPT, Gemini, etc.), virtual assistant development, and natural language processing (NLP).
Hands-on experience with vector databases, embeddings, RAG (including GraphRAG), prompt engineering, and context engineering.
Experience orchestrating agents with code-first frameworks (LangGraph, LangChain, Semantic Kernel, Strands, CrewAI, Autogen, or similar), and designing multi-step/multi-agent workflows with function calling and structured outputs.
Strong backend development experience (Python or similar), microservices, event-driven architectures, AWS cloud governance (ECS, security, observability), and advanced model benchmarking/monitoring.
Experience building and designing internal AI engineering frameworks, libraries, or platforms for use by other teams.
Deep understanding of the code-agent assisted development cycle, standardization of Agent Skills, SDD (Spec-Driven Development), and Intent Development as robust architectural contracts interpretable by autonomous agents.
Ability to design platform-level Harness Engineering infrastructures, including CI/CD pipelines for continuous semantic validation of coding agents.

Benefits

Comp & perks

Freedom to work from anywhere
Flexible hours*
Education assistance
Proprietary career development tool
Internal guilds and other study and interest groups
Health insurance
Dental insurance
Partnership for medication purchases
Telemedicine: 24/7 medical assistance
Free online therapy
Wellhub
Extended maternity leave
Extended paternity leave
CAZ – Zuppers Support Center
Meal and food vouchers
Life insurance
Transportation voucher
Home office allowance
Daycare assistance
Phone plan assistance
Profit Sharing (Participation in Profits and Results)