Senior Software Engineer - Software Engineering (60000624)

Indaiatuba, São Paulo, BR, 13337-300

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John Deere

Explore agricultural, construction, forestry machinery, technology, services and more on the official John Deere website. Find a dealer in your area or purchase online.

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Trabalhamos para que a vida possa avançar e estamos sempre à procura de pessoas inovadoras que possam contribuir com a nossa missão. Que tal fazer parte do nosso time?

 

Local Principal: Brasil (BR) - São Paulo  - Indaiatuba  
Função: Technology (CA)
Título: Senior Software Engineer - Software Engineering (60000624) - 114137

 

 

 

We are part of a global organization present in over 26 countries, responsible for the sales and distribution journey of everything we produce from parts and engines to autonomous tractors for precision agriculture and construction. Our challenge is to build digital products that deliver delightful experiences, accelerate processes, and increase efficiency for our end customers, internal partners, and dealers. We aim to create products our customers love!   We use a variety of technologies in our tech stack. Our Finance processes, run on SAP S/4, leveraging transactional aspects and other solutions that connect  our business partners through APIs, web and mobile applications, and new channels we are still exploring. Additionally, we strongly embrace the Clean Core concept, expanding our development stack to cloud platforms like AWS, data and machine learning platforms like Databricks and Palantir.   We value innovation in our daily work!     In this team, your role is to support product innovations with a focus on artificial intelligence. You will also serve as a key link between software engineers, product managers, and scrum masters. 

Main Responsibilities

 

  • Acting as an entrepreneur in residence in the search for AI solutions across Finance, collaborating with software engineers and product managers;
  • Defining roadmaps and blueprints for AI and Generative AI (GenAI) solutions;
  • Developing machine learning algorithms based on classification, regression, and solutions using LLMs, including prompt engineering, retrieval augmented generation (RAG), and agent development (LangGraph);
  • Building data extraction, transformation, and loading (ETL) pipelines, versioning, experimentation, and continuous delivery of machine learning models;
  • Designing, developing, and testing the necessary code (Test Driven Development) to deliver the desired functionality;
  • Collaborating with stakeholders and team members to ensure features meet business needs and technical robustness for long-term operations;
  • Operating in a “Build & Run” model, meaning all feature and/or model development is supported by the same team;
  • Actively solving problems by identifying root causes and working with clients to ensure operations and incident resolution;
  • Training and mentoring other team members;
  • Following agile methodologies aligned with software industry standards, especially focusing on metrics associated with Elite Engineering.

What You Need

 

  • Bachelor’s degree in IT, Computer Science, Engineering, Physics, Mathematics, Statistics, or related fields;
  • Advanced English proficiency;
  • Strong verbal and written communication skills;
  • Experience with the Databricks platform, including MLFlow;
  • Ability to build machine learning models using major frameworks like scikit-learn and Keras or XGBoost;
  • Programming in Python and/or Node.js;
  • Knowledge with relational and non-relational databases, as well as query languages (SQL and NoSQL);
  • Knowledge of RAG (Retrieval Augmented Generation), GraphRAG, KAG (Knowledge-Augmented Generation), among others;
  • Experience with agent architectures and multi-agent systems.

What Makes You Stand Out

 

  • Experience developing microservices and building APIs to serve models and integrate with systems;
  • Monitoring and observability of APIs and served models;
  • Ability to work in multidisciplinary teams in global environments;
  • Experience with SAP applications.

Nossos principais benefícios

 

  • Remuneração variável; 
  • Plano de Saúde;
  • Plano Odontológico;
  • Seguro de Vida;
  • Previdência Privada;
  • Benefício Ótica; 
  • Reembolso vacina; 
  • Universidade Corporativa; 
  • Wellhub (Gympass);
  • Dependendo da unidade, você terá restaurante no local, vale refeição ou alimentação;
  • Auxílio farmácia;
  • Entre outros

#LI-Hybrid

  
Nosso Processo Seletivo

 

A seleção começa com a sua inscrição, para algumas vagas, existem alguns testes adicionais. Você terá a possibilidade de conhecer pessoas do time nas entrevistas! Nosso processo seletivo é flexível em termos de tempo, então não se preocupe! Nossa equipe de Talent Acquisition está comprometida em proporcionar a melhor experiência para você. Analisamos todas as candidaturas cuidadosamente e fornecemos feedback em todas as etapas do processo. Além disso, todas as orientações serão enviadas por e-mail!

 

Sobre a John Deere

 

A John Deere é líder global no fornecimento de produtos, tecnologia e serviços avançados para clientes que desempenham um papel essencial na agricultura, construção, florestal entre outros setores. Nosso objetivo é atender à crescente necessidade mundial de alimentos, combustível, abrigo e infraestrutura, enquanto promove a sustentabilidade e a preservação do planeta que chamamos de lar.
Inovamos para impulsionar a produtividade e proteger nosso planeta e convidamos você a fazer parte dessa história. Trabalharemos juntos para criar, testar, superar para que para que a vida possa avançar. ����
 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile APIs Architecture AWS Classification Computer Science Databricks Engineering ETL Finance Generative AI Keras LLMs Machine Learning Mathematics Microservices MLFlow ML models Node.js NoSQL Physics Pipelines Prompt engineering Python RAG RDBMS Scikit-learn Scrum SQL Statistics Testing XGBoost

Perks/benefits: Career development Fitness / gym

Region: South America
Country: Brazil

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