Senior Data Engineer – AI, GCP

Job not on LinkedIn

🕒 August 12

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Leega

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

💼 Consulting

📣 Marketing

🔌 API

Consulting • Marketing • API

Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.

📋 Description

• Act as a technical reference/lead in the development and experimentation of AI solutions, including prototypes, proofs of concept (PoCs) and pilots for business cases based on GenAI and AI agents • Participate in the definition, design and implementation of architectures and solutions based on GenAI and AI agents • Evaluate frameworks, tools and patterns suitable for each case • Build and experiment with agents using Google ADK, CrewAI, LangGraph, Semantic Kernel and other frameworks • Consider autonomy, tool calling, planning and governance in agent development • Develop solutions in Python, Java and JavaScript/TypeScript, including APIs, integrations and microservices • Apply data, MLOps and Machine Learning concepts from experimentation to production • Use Google Cloud Platform AI infrastructure and services • Contribute to evaluation criteria for agents and RAG systems, including quality, cost, latency and groundedness • Contribute to the observability of solutions in production

🎯 Requirements

• Minimum 5 years of experience in software or data engineering, with at least the last 2 years in AI/GenAI initiatives • Minimum 4 years of software development experience • Proficiency in Python, Java and JavaScript/TypeScript • Knowledge of engineering best practices and production-grade applications • Minimum 3 years of experience with Data, MLOps and Machine Learning concepts • Minimum 2 years defining, designing and implementing GenAI-based architectures and solutions • Minimum 2 years in cloud environments, preferably GCP • Minimum 1 year working with AI agent development frameworks, such as Google ADK, CrewAI and LangGraph • Nice to have: minimum 2 years using Java in the Spring ecosystem (Spring Boot, Spring AI, Spring Cloud) • Nice to have: minimum 1 year of Front-End experience with Angular, consuming AI APIs • Nice to have: minimum 1 year with RAG systems and vector databases such as Pinecone, Weaviate, Qdrant, pgvector and Azure AI Search • Experience with observability and troubleshooting of agents/multi-agent systems in production • GCP certifications or certifications in generative AI frameworks are a plus

🏖️ Benefits

• Porto Seguro medical plan for you and your family, with the option to include a spouse and children • Porto Seguro dental plan for you and your dependents • Profit Sharing (PLR) • Childcare allowance • Alelo Meal and Food Vouchers • Home Office allowance • Partnerships with educational institutions, offering discounts and incentives on courses and degree programs • Support for certifications, including Cloud (GCP, Azure, AWS among others) • Livelo points • Total Pass, with discounted gym plans for employees and family members • Mindself, supporting meditation and mindfulness