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

Solutions Architect, Model Builder - LATAM
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- Tempo integral
- Doutorado
- Ciência da Computação
- Banco de Dados
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Lenovo —São Paulo, SP
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- Azure
- Ciência da Computação
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Senior Forward Deployed Engineer - QuantumBlack Studio
McKinsey & Company —São Paulo, SP
- Azure
- Gestão
- Ciência da Computação
Data Analytics & AI Enablement Analyst
Lenovo —Jaguariúna, SP
- Tempo integral
- Gestão
- Ciência da Computação
- PMP
Há 10 dias
Senior Mobile Engineer
Sezzle —São Paulo, SP
- R$ 4.600 – R$ 9.500 por mês
- Tempo integral
- Home Office
- Bar
- Ciência da Computação
- Ciência da Computação
Há 10 dias
Senior Security Infrastructure Engineer
Sezzle —Brasília, DF
- R$ 5.000 – R$ 9.500 por mês
- Tempo integral
- Home Office
- Bar
- Gestão
- DevOps
Sênior Full Stack Developer - São Paulo ( SP) ou Porto Alegre (RS)
Monjuá —São Paulo, SP
- Oracle
- Banco de Dados
- JavaScript
Candidatura rápida
R&D Internship (student)
Mitel —Curitiba, PR
- Meio período
- Ciência da Computação
- Inglês
- Java
Site Reliability Engineer
Tekmetric —Rondônia
- Home Office
- DevOps
- Java
- JavaScript
- Trabalho remoto
Candidatura rápida
Lead, AI Engineering
Bain & Co. —São Paulo, SP
- Tempo integral
- Azure
- Gestão
- Inglês
- Trabalho remoto
Candidatura rápida
Head of Quant
NEXT Ventures —São Paulo, SP
- Tempo integral
- Modelo Híbrido
- Banco de Dados
- C++
- Graduação
Candidatura rápida
Microsoft Dynamics 365 Business Central Engineer
N-iX —São Paulo, SP
- Home Office
- Inglês
- JavaScript
- Desenvolvimento de Software
Candidatura rápida
Há 9 dias
Senior Site Reliability Engineer Lead
HCLTech —São Leopoldo, RS
- Ciência da Computação
- Azure
- Oracle
Há 7 dias
Principal Forward Deployed Engineer - QuantumBlack Studio
McKinsey & Company —São Paulo, SP
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- Azure
- Ciência da Computação
Há 7 dias
Senior Observability & Telemetry Engineer - Radian Arc
SUBMER —Rondônia
- Tempo integral
- Home Office
- Banco de Dados
- Machine Learning
- Inteligência artificial
Candidatura rápida
Women in Tech – Exclusive Career Opportunities
Getnet —São Paulo, SP
- Tempo integral
- Azure
- DevOps
- Java
- Vale-transporte
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Pearl Talent - Senior AI and Automations Engineer - I040
Pearl —São Paulo, SP
- Tempo integral
- Home Office
- CRM software
- Inglês
- Banco de Dados
Candidatura rápida
Senior Solutions Architect (Pre-Sales)
MongoDB —São Paulo, SP
- Azure
- Vendas
- DevOps
System Administrator
Alchemy Cloud —Belo Horizonte, MG
- Inglês
- Scripting
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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

Analista Desenvolvedor Pl

Senior Forward Deployed Engineer - QuantumBlack Studio

Data Analytics & AI Enablement Analyst

Senior Mobile Engineer

Senior Security Infrastructure Engineer

Sênior Full Stack Developer - São Paulo ( SP) ou Porto Alegre (RS)

R&D Internship (student)

Site Reliability Engineer

Lead, AI Engineering

Head of Quant

Microsoft Dynamics 365 Business Central Engineer

Senior Site Reliability Engineer Lead

Principal Forward Deployed Engineer - QuantumBlack Studio

Senior Observability & Telemetry Engineer - Radian Arc

Women in Tech – Exclusive Career Opportunities

Pearl Talent - Senior AI and Automations Engineer - I040

Senior Solutions Architect (Pre-Sales)

System Administrator

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