Specialist AI Developer

Brazil

São Paulo, São Paulo, Brazil

PythonAWS

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About the opportunity

Our purpose is to create technologies that challenge the best in the world and change the game for our clients. That is why we look for professionals who want to be part of a culture based on excellence and innovation. If you identify with a collaborative work environment driven by curiosity, come build the future of technology with us.

We value the continuous growth of our Zuppers, encouraging each person to follow paths that boost their professional evolution.

[Insert here a text explaining the challenge of the position/project where this person will work]

What you will do here

Define the long-term architectural vision and AI engineering standards for high-criticality systemic products.

Evangelize, design, and structure the cross-team ecosystem for native AI development (scalable practices for SDD, Intent Development, and Harness Engineering).

Ensure technical and economic governance of AI models, managing complex trade-offs between token cost, latency, security (corporate guardrails), and data privacy.

What we expect you to know

Proven experience with generative AI and deep knowledge of LLMs (Claude, GPT, Gemini, etc.) for developing virtual assistants and natural language processing (NLP).

Mastery of advanced backend development (Python or similar ecosystems), microservices, event-driven architectures, and full governance in AWS cloud environments (ECS, security, and observability).

Building and orchestrating agents using code-first frameworks (Deep Agents, LangGraph, LangChain, Semantic Kernel, Strands, CrewAI, Autogen, or similar) and multi-step/multi-agent workflows with function calling and structured outputs.

Vector databases and embeddings for efficient data manipulation and semantic representation, plus familiarity with RAG (Retrieval-Augmented Generation) and its variations (e.g., GraphRAG).

Prompt engineering and context engineering, as well as model benchmarking and advanced automated evaluation strategies (monitoring, precision, groundedness).

Native AI development and Code Agents, knowing how to interact with, guide, and audit autonomous coding agents.

SDD (Spec-Driven Development) and Intent Development practices, translating business intentions into robust architectural contracts for AI and minimizing human code generation.

Corporate Harness Engineering and CI/CD pipelines for continuous semantic validation of coding agents.

Development and design of internal AI engineering frameworks, libraries, or platforms for scalable use by other development teams.

What happens after I apply for an internal vacancy?

Once your application is confirmed and it is determined that your profile is a good fit for the chosen position, we will notify your immediate leadership and BP via email about your application for the internal selection process.

To learn more about the details, visit the Vagas Internas page on Zupnet.

#LI-DNI #LI-DNP

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Specialist AI Developer

About the opportunity

What you will do here

What we expect you to know

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