Brazil
1 month ago

Job Overview

Job Type
Full Time
Pay
Not disclosed

Job description

Location:
Brazil
Work arrangement:
On-site

Role Summary

📚 Made up of people who transform education

All Arco vacancies are eligible for People with Disabilities.

We are Arcotech, Arco Educação's technology team. We develop digital solutions so that students, parents and schools work together for more dynamic and effective learning.

Here we bring together talents who have a passion for technology and education. We know that, together, we are able to unite both forces to elevate the learning experience. We want to go beyond innovation, our purpose is to enhance the impact of education on people, that's what moves us.

Through learning, estimating and relationship solutions, we help schools become better, bigger and more delightful for students, educators and families.

Responsibilities

#VEMPRAARCO 🧡 #VEMSERTECH

Now that you've captured a little more of our essence, let's talk about the opportunity?

You will be part of our Data ecosystem, acting as a Data Engineer II with a strong focus on innovation and Artificial Intelligence. Your challenge will be to build AI-driven products that leverage our platform, developing everything from agents and chatbots to data automation systems. Here, you will combine traditional data engineering with state-of-the-art LLMs to generate real impact on the efficiency of our teams, actively collaborating with Data Platform and Analytics Engineering.

👉 What will be your challenges with us?

  • Build AI-driven products for the data ecosystem (agents, chatbots, automatic query rewriting systems, automated model generation and documentation);
  • Help maintain the reliability of agentic systems (guardrails, validations and observability, such as LangFuse) to deal with non-determinism in production;
  • Work with MCPs and integrations between tools, building and evolving internal MCPs;
  • Participate in technical decisions by evaluating trade-offs (RAG vs LLM Wiki, heuristics vs LLM, cost vs latency vs quality), conducting comparative experiments;
  • Participate in code reviews, paying attention to performance, token costs and maintainability;
  • Collaborate with Data Platform and Analytics Engineering to connect the platform's products to the teams' real consumption.

Requirements

  • 👉 What we hope you get
  • Python and SQL;
  • Practical experience building and putting AI products into production (intense use of LLMs on a daily basis: agents, model APIs, skills/plugins like those from Claude Code), not just casual use;
  • Programming logic, algorithms and data structures;
  • Pipeline orchestration (Airflow, Dagster) and data transformation with dbt (or Dataform);
  • Good familiarity with Cloud systems and architectures (preferably GCP/BigQuery);
  • Experience with deployment (Kubernetes, Docker, Cloud Run);

Understanding of how to integrate systems (APIs, webhooks).

It will be a plus if you have

  • Agentic systems in production (prompt engineering, agent orchestration, tools, sub-agents, parallelism, retry and fallback);
  • MCP, Model Context Protocol (construction or consumption of MCPs to standardize agent access to data sources);
  • RAG and alternative architectures (e.g. LLM Wiki style prior synthesis) and their trade-offs;
  • Evaluation of AI systems (LangFuse, quality/cost/latency metrics, evals design for non-deterministic systems);
  • Spec-driven development (Spec Kit, SDD): constitutions, quality gates and versioned specs guiding implementation;
  • Management and integration with visualization platforms (Metabase, Looker, Tableau) via API;
  • Claude Code skills to automate team flows;
  • Infrastructure as code (Terraform);
  • Construction of HTTP services (FastAPI) and Slack bots/integrations.
  • One of Arcotech’s pillars is diversity. Our motivation is to keep moving, innovating and taking educational technologies to levels not yet seen. To this end, we believe in the strength of the word equity and respect for equal rights. Here we recognize singularities, differences and embrace them all.
  • What you will find at Arco, besides incredible people:
  • + Food voucher and/or Flash meal
  • + SulAmerica health and dental plan
  • + Transportation voucher for in-person and hybrid vacancies
  • + Extended maternity and paternity leave
  • + Daycare assistance
  • + Health care: partnership with Wellhub and Zenklub
  • + Encouragement of education
  • + Discount on airline tickets
  • + Partnership with pet health plan
  • + Access to Arco teaching materials for employees’ children
  • + Partnerships for MBA and Postgraduate
  • #MoreDiversity
  • We believe that in a diverse and inclusive environment our people will be happier, more engaged and more likely to reach their full potential.
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Role:
Data Engineer II
Job Type:
Full Time

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