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1,016

Ux Ui Designer jobs in Brazil

Senior Full-Stack Software Engineer, Applied AI

Jobgether

Brazil
Remote
BRL 682,000 - 736,000
Yesterday
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FullStack Develper (NodeJS + NextJS) - Relocation to Portugal

Aubay Portugal

Betim
On-site
BRL 200,000 - 250,000
Yesterday
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Desenvolvedor full stack

EcommIT Integrated Solutions

Porto Alegre
Remote
BRL 80,000 - 120,000
Yesterday
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Senior Software Engineer

Fraud Deflect

Esteio
On-site
BRL 120,000 - 180,000
Yesterday
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Senior Full Stack Engineer (React / Next.js / React Native)

Oowlish Technology

Fortaleza
Remote
BRL 160,000 - 200,000
Yesterday
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Software Engineer

Ascendion

Porto Alegre
On-site
BRL 120,000 - 160,000
Yesterday
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Senior Front-End Engineer

DevGrid

Barueri
Remote
BRL 120,000 - 160,000
Yesterday
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Desenvolvedor Full Stack Pleno

WiteCheckout

Manaus
On-site
BRL 80,000 - 120,000
Yesterday
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Desenvolvedor Full Stack

SupportFinity™

Flores da Cunha
On-site
BRL 80,000 - 120,000
Yesterday
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Desenvolvedor Fullstack (Java+Python+React Native) - Remoto

Getronics

Manaus
Remote
BRL 80,000 - 120,000
Yesterday
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Senior Full Stack Engineer (React / Next.js / React Native)

Oowlish Technology

Espumoso
Remote
BRL 160,000 - 200,000
Yesterday
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AWS Data Architect

Meta

Linhares
Remote
BRL 160,000 - 200,000
Yesterday
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Programador Ruby

OniLearning

Sumaré
Remote
BRL 120,000 - 160,000
Yesterday
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Desenvolvedor Fullstack (Java+Python+React Native) - Remoto

Getronics

Recife
Remote
BRL 80,000 - 120,000
Yesterday
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Senior Software Engineer UX (C# / XAML)

Velozient

Porto Alegre
Remote
BRL 120,000 - 160,000
Yesterday
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Desenvolvedor Full Stack

SupportFinity™

Montenegro
On-site
BRL 80,000 - 120,000
Yesterday
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Frontend Engineer – Angular (458)

Ubiminds

Brazil
Remote
BRL 120,000 - 160,000
Yesterday
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Software Development Engineer - Vaga para mulheres, Amazon University Talent Acquisition, São Paulo

Amazon

São Paulo
On-site
BRL 120,000 - 160,000
Yesterday
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Senior/Staff Product Engineer (Full Stack) (m/f/d)

epilot GmbH

Diadema
Remote
BRL 438,000 - 627,000
Yesterday
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Desenvolvedor(a) Fullstack – Click Cannabis – Rio de Janeiro

Click Cannabis

Rio de Janeiro
On-site
BRL 80,000 - 120,000
Yesterday
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AWS Data Architect

Meta

Betim
Hybrid
BRL 160,000 - 200,000
Yesterday
Be an early applicant

Programador Full Stack Python Pleno – Global Tech Holding – Rio de Janeiro

Global Tech Holding

Rio de Janeiro
On-site
BRL 80,000 - 120,000
Yesterday
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AWS Data Architect

Meta

Natal
Remote
BRL 420,000 - 631,000
Yesterday
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Mid Level Software Engineer | Darwin Team

Wellhub

Manaus
Remote
BRL 236,000 - 342,000
Yesterday
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Desenvolvedor Full Stack Pleno

WiteCheckout

Recife
On-site
BRL 80,000 - 120,000
Yesterday
Be an early applicant

Top job titles:

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Top companies:

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Similar jobs:

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Senior Full-Stack Software Engineer, Applied AI
Jobgether
Remote
BRL 682,000 - 736,000
Full time
Yesterday
Be an early applicant

Job summary

A technology recruitment partner is seeking a Senior Full-Stack Software Engineer in Brazil to join a dynamic Applied AI team. The candidate will design and deploy AI-powered solutions, develop applications using Ruby on Rails and ReactJS, and execute experiments to improve features. This role offers a competitive salary of $130,000 – $140,000 annually, fully remote working options, and generous paid time off of 35 days per year, plus an annual bonus potential.

Benefits

Competitive salary
Fully remote work
Generous paid time off
Comprehensive medical coverage
Parental leave benefits
Home office stipends
Annual bonus potential

Qualifications

  • 6+ years of experience as a full‑stack engineer on high‑traffic, production applications.
  • Strong experimentation mindset with ability to design and iterate tests.
  • Comfortable learning new technologies quickly.

Responsibilities

  • Develop full‑stack AI applications end-to-end.
  • Design and execute experiments to validate features.
  • Build and maintain infrastructure for AI inference.
  • Collaborate with teams to shape features and drive innovation.

Skills

Ruby on Rails
ReactJS
Relational databases (MySQL/PostgreSQL)
AI feature development
Autonomy and collaboration
Strong experimentation mindset
Proficient in English (CEFR Level C2)
Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Full-Stack Software Engineer, Applied AI in Brazil.


We are seeking a versatile Senior Full-Stack Software Engineer to join a dynamic Applied AI team, developing cutting‑edge AI‑powered solutions. In this role, you will design, build, and deploy full‑stack applications that leverage large language models (LLMs) to create transformative experiences. You will ship production‑ready features, design experiments, and optimize AI infrastructure, all while collaborating with cross‑functional teams. The ideal candidate is highly curious, enjoys rapid iteration, and thrives in a fast‑paced environment where innovation meets execution. This role offers the opportunity to shape real‑world AI applications, contribute to scalable systems, and make a tangible impact across products used by thousands of users.


Accountabilities


  • Develop full‑stack AI applications, including front‑end components (ReactJS) and back‑end services (Ruby on Rails), shipping projects end-to-end.

  • Design and execute experiments, such as A/B tests and AI evaluations, to validate features, measure impact, and guide iterative improvements.

  • Build and maintain infrastructure for AI inference, ensuring performance, reliability, and scalability.

  • Collaborate with product, design, and leadership teams to shape features and drive innovation.

  • Continuously improve processes, tools, and systems to accelerate AI feature deployment.

  • Stay current with emerging AI research, tools, and technologies, applying relevant advancements to production use cases.

  • Maintain high standards of code quality, user experience, and operational reliability.


Requirements


  • 6+ years of experience as a full‑stack engineer on high‑traffic, production applications.

  • Proficiency with Ruby on Rails, ReactJS, and relational databases (MySQL/PostgreSQL).

  • Hands‑on experience developing AI features in production (e.g., LLM‑powered tools, RAG systems, AI agents).

  • Strong experimentation mindset: designing, running, and iterating on tests to validate feature impact.

  • Ability to work in a fast‑paced environment with autonomy, personal accountability, and collaboration across teams.

  • Comfortable learning new technologies quickly and navigating ambiguity.

  • Strong alignment with organizational values.

  • Proficient in English (CEFR Level C2 / ILR Level 5).


Benefits


  • Competitive salary: $130,000 – $140,000 USD per year, with annual review and equity options.

  • Fully remote: work from anywhere in the world.

  • High autonomy and trust in executing your work.

  • Generous paid time off: 35 days annually, plus paid sabbatical after 5 years.

  • Comprehensive medical coverage or reimbursement options.

  • Parental leave and family support benefits.

  • Home office and professional development stipends.

  • Annual bonus potential.

  • Twice‑yearly fully paid company retreats in international locations.


Why Apply Through Jobgether?

We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.


We appreciate your interest and wish you the best!


Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.


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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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