17 melhores vagas de full stack developer (python) – (Contratando agora!)

Solutions Architect, Model Builder - LATAM
NVIDIA —São Paulo, SP 04576-020
- Tempo integral
- Doutorado
- Ciência da Computação
- Banco de Dados
[Job- 29227] Senior Salesforce & Fullstack Engineer (Cloud Communications), Brazil
CI&T —Remoto
- Tempo integral
- Home Office
- CRM software
- Ciência da Computação
- Salesforce
Candidatura rápida
Brazil - Remote: Team Lead (Digital Twin)
Halliburton —Rio de Janeiro, RJ
- Meio período
- Home Office
- Azure
- Gestão
- DevOps
Senior Forward Deployed Engineer - QuantumBlack Studio
McKinsey & Company —São Paulo, SP
- Azure
- Gestão
- Ciência da Computação
SRE Team lead
Kommo —Remoto
- Tempo integral
- Home Office
- CRM software
- DevOps
- Agile
Candidatura rápida
11 h
SR Data Engineer - Indaiatuba/SP
John Deere —Indaiatuba, SP
- Ciência da Computação
- DevOps
- Inglês
Desenvolvedora Full Stack Sênior - Vaga exclusiva para Mulheres | Backstage Platform
Globo —Porto Alegre, RS
- Ciência da Computação
- Ciência da Computação
- Java
Principal Forward Deployed Engineer - QuantumBlack Studio
McKinsey & Company —São Paulo, SP
- Bar
- Azure
- Ciência da Computação
Há 11 dias
Lead, AI Engineering
Bain & Co. —São Paulo, SP
- Tempo integral
- Azure
- Gestão
- Inglês
- Trabalho remoto
Candidatura rápida
Early Career Software Engineer, People with Disabilities
Google —São Paulo, SP
- Ciência da Computação
- Inglês
- Java
Staff Data Engineer - Indaiatuba/SP
John Deere —Indaiatuba, SP
- Ciência da Computação
- Inglês
- Java
- Assistência médica
- Assistência odontológica
Cloud Engineer
Lanxess AG —São Paulo, SP
- Tempo integral
- Ciência da Computação
- Inglês
- Graduação
Site Reliability Engineer
Tekmetric —Rondônia
- Home Office
- DevOps
- Java
- JavaScript
- Trabalho remoto
Candidatura rápida
Senior Solutions Architect (Pre-Sales)
MongoDB —São Paulo, SP
- Azure
- Vendas
- DevOps
R&D Internship (student)
Mitel —Curitiba, PR
- Meio período
- Ciência da Computação
- Inglês
- Java
System Administrator
Alchemy Cloud —Belo Horizonte, MG
- Inglês
- Scripting
- Python
Women in Tech – Exclusive Career Opportunities
Getnet —São Paulo, SP
- Tempo integral
- Azure
- DevOps
- Java
- Vale-transporte
- Assistência médica

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Solutions Architect, Model Builder - LATAM
NVIDIA —São Paulo, SP 04576-020
Optimize inference performance by bringing to bear GPU-accelerated frameworks and the full NVIDIA AI infrastructure stack. What you'll be doing:
[Job- 29227] Senior Salesforce & Fullstack Engineer (Cloud Communications), Brazil
CI&T —Remoto
Hybrid Web Development: Architect and deploy full-stack web applications (React/Node.js) that enhance the agent experience and integrate directly with AWS and…
Candidatura rápida

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Solutions Architect, Model Builder - LATAM

NVIDIA -
São Paulo, SP 04576-020

Candidate-se Agora

Detalhes da vaga

Tempo integral

Qualificações

TensorFlow
Doutorado
Ciência da Computação
PyTorch
Banco de Dados
C++
C
Machine Learning
Deep learning
APIs
Inteligência artificial
Python
Debug

Descrição completa da vaga

Join NVIDIA as a Solutions Architect to help LATAM build culturally-nuanced LLMs and empower local developers to build and deploy next-generation agentic AI applications. Collaborate with premier startups, research labs and ISVs to develop the next generation components of the AI-native systems. By mastering NVIDIA’s core technologies—NIM, NeMo Framework, Dynamo, and Nemo Agent Toolkit—you will guide partners through the complexities of performance optimization and production-grade deployment. As a trusted advisor, you’ll transform raw LLM capabilities into high-performance, industry-focused enterprise agents. At NVIDIA, we work as a unified front. You will collaborate daily with our Account Managers, DevRel leads, and Marketing experts to turn bold AI visions into regional realities.

What you'll be doing:

Localize the future: Fine-tune LLMs to speak the authentic language of specific regions and industries.
Develop and optimize training and inference workflows with partners and collaborate with internal NVIDIA development teams to improve our software stack
Build sophisticated agentic systems featuring multi-agent coordination, long-horizon reasoning, and sophisticated planning frameworks.
Develop full-scale solutions, including domain-specific enterprise agents and high-performance retrieval pipelines (RAG) spanning various data sources.
Optimize inference performance by bringing to bear GPU-accelerated frameworks and the full NVIDIA AI infrastructure stack.
Build hands-on PoCs and reference architectures that serve as the blueprint for production-grade generative AI pipelines.
Partner with high-growth startups and Enterprise ISVs to embed NVIDIA’s software stack into their core platforms, slashing the time to market for production-grade AI.
Fuel partner innovation through hands-on developer enablement and thorough architectural reviews, turning sophisticated AI visions into production realities.
Scale global expertise by crafting reusable assets and documentation that help field teams deploy agentic AI at scale.

What we need to see:

BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.
5+ years of experience in deep learning, machine learning, or distributed AI systems.
Strong programming and debugging experience in Python, C/C++, and Linux environments.
Background in using deep learning libraries like PyTorch or TensorFlow.
Hands-on experience building LLM and generative AI applications.
Experience working with agentic or multi-agent AI systems employing frameworks such as: LangGraph, LlamaIndex, CrewAI, LangChain, or OpenAI Agents SDK or similar orchestration frameworks
Experience building tool-using AI agents that interact with APIs, databases, and enterprise systems.
Ability to rapidly prototype AI applications and build scalable GPU-accelerated architectures.
Excellent interpersonal skills and the ability to collaborate with engineering teams, partners, and executive collaborators.

Ways to Stand Out from the Crowd:

Experience working with NVIDIA GPUs and AI software, such as NVIDIA NIM, NeMo Framework, NeMo Retriever, and NeMo Agent Toolkit.
Experience with LLM evaluation frameworks, benchmarking systems, and safety guardrails for agentic workflows.
Experience optimizing reasoning-focused LLMs through timely engineering, quantization, or benchmarking.
Familiarity with Kubernetes/OpenShift, CI/CD automation, and cloud-native deployment patterns for AI systems.
Experience with parallel or distributed computing environments and AI workloads optimized for GPUs.

Candidate-se Agora

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full stack developer (python) – vagas

Solutions Architect, Model Builder - LATAM

[Job- 29227] Senior Salesforce & Fullstack Engineer (Cloud Communications), Brazil

Brazil - Remote: Team Lead (Digital Twin)

Senior Forward Deployed Engineer - QuantumBlack Studio

SRE Team lead

SR Data Engineer - Indaiatuba/SP

Desenvolvedora Full Stack Sênior - Vaga exclusiva para Mulheres | Backstage Platform

Principal Forward Deployed Engineer - QuantumBlack Studio

Lead, AI Engineering

Early Career Software Engineer, People with Disabilities

Staff Data Engineer - Indaiatuba/SP

Cloud Engineer

Site Reliability Engineer

Senior Solutions Architect (Pre-Sales)

R&D Internship (student)

System Administrator

Women in Tech – Exclusive Career Opportunities

Other jobs to consider

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