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Senior Full Stack Engineer ID78855
AgileEngine —Remoto
- Tempo integral
- Home Office
- DevOps
- Inglês
- Banco de Dados
Candidatura rápida
Há 1 dia

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Senior Full Stack Engineer ID78855

AgileEngine -
Remoto

Candidatura rápida

Detalhes da vaga

Tempo integral
Há 1 dia

Qualificações

React
DevOps
Inglês
Banco de Dados
Docker
REST
APIs
Desenvolvimento Front-end
Inteligência artificial
Python

Descrição completa da vaga

About the role

We are looking for a Senior Full Stack Engineer with a backend orientation to build robust applications using Python on the backend and React on the frontend, leveraging AI-assisted development tools including Cursor, Windsurf, and Claude Code to accelerate coding, testing, and deployment. You will design and maintain scalable full-stack solutions, integrate and optimize LLM-driven workflows, and collaborate with cross-functional teams to deliver end-to-end features with high code quality standards. The role requires 4+ years of full-stack experience with strong Python expertise and hands-on LLM tools proficiency.

What you will do

Design, develop, and maintain scalable full-stack applications, with a focus on Python back-end services.
Build and optimize React-based front-end components.
Integrate and optimize workflows with AI-assisted coding tools, including LLMs and code agents.
Collaborate with cross-functional teams to deliver end-to-end solutions.
Ensure high standards of code quality, testing, and deployment.
Stay up to date with emerging technologies in AI-enhanced development.

Must haves

Proven experience as a Full-Stack Engineer, with strong Python back-end expertise.
Solid knowledge of React for front-end development.
Experience in LLM-assisted development environments, such as Cursor, Windsurf, or Claude Code, or any other similar tools.
Proficiency with REST APIs, databases, and cloud environments.
Familiarity with CI/CD pipelines and best software engineering practices.
Strong problem-solving, communication, and collaboration skills.
Upper-intermediate English level.

Nice to haves

Background in AI/ML concepts or experience integrating AI services.
Knowledge of DevOps practices and containerization, including Docker and Kubernetes.
Experience in fast-paced, innovation-driven environments.

Perks and benefits

Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
Well-being & support: access local well-being programs and people-focused support tailored to your location

Job Type: Full-time

Work Location: Remote

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