2.101 Empregos para Neural Networks - Brasil
Generative AI Development Specialist | AI Engineering
Publicado há 14 dias atrás
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Join to apply for the Generative AI Development Specialist | AI Engineering role at C6 Bank
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- WellHub;
Estamos em busca de uma pessoa para atuar com liderança técnica ou especialista em IA Generativa para assumir um papel estratégico na evolução da nossa tecnologia. Você terá a oportunidade de liderar projetos que moldam o futuro do C6 Assistant — nosso assistente de IA generativa que já transforma a experiência bancária de mais de 35 milhões de clientes — e contribuir ativamente na construção da nossa plataforma de LLMOps, além de iniciativas voltadas à eficiência operacional. É a chance de trabalhar com tecnologia de ponta, assumir desafios de escala real e gerar impacto direto na vida de milhões de pessoas.
Suas atividades como CSixer
- Desenvolver soluções de IA Generativa de ponta a ponta: da concepção ao ambiente produtivo.
- Liderar ou apoiar a criação de copilots, automações e assistentes para clientes e áreas internas.
- Evoluir nossa plataforma de LLMOps com foco em escalabilidade, governança, rastreabilidade e segurança.
- Trabalhar com times de arquitetura, engenharia, produto e operações em soluções integradas com impacto direto no negócio.
- Estabelecer boas práticas de CI/CD para IA Generativa em ambientes on-premise e cloud.
- Investigar causas de falhas e incidentes, propondo correções e melhorias estruturais.
- Promover boas práticas técnicas, revisão de código e troca de conhecimento.
- Clareza na comunicação com perfis técnicos e não técnicos.
- Tomada de decisão técnica ou influência como referência no time.
- Capacidade de entender demandas de negócio e converter em soluções técnicas viáveis.
- Postura colaborativa, com foco em entrega contínua e melhoria incremental.
- Experiência com metodologias ágeis e visão de produto.
- Experiência com IA Generativa, LLMs, embeddings e NLP.
- Domínio de Python e bibliotecas como LangChain, Transformers, etc.
- Domínio de técnicas avançadas de RAG (re-ranking, chunking dinâmico, context-aware retrieval).
- Experiência com Git e bancos de dados relacionais e não relacionais.
- Vivência em Ciência de Dados aplicada a dados não estruturados.
- Experiência com ferramentas de LLMOps, pipelines e monitoramento de modelos.
- Experiência com modelos open-source (Mistral, LLaMA, Mixtral, Phi).
- Atuação com agentes autônomos ou orquestração com LangGraph ou similares.
- Conhecimentos de protocolos como MCP e A2A.
- Vale-Refeição;
- Vale-Alimentação;
- Plano e saúde e odontológico;
- Auxílio-Creche;
- Seguro de Vida;
- WellHub;
- Conexa | Psicologia Viva - Terapia online sem custo;
- Cartão de Crédito C6 Bank Carbon;
- Carbon Spa - Salão de beleza localizado em nosso escritório;
- Sala de amamentação;
- Empresa Cidadã - Prorrogação do prazo da licença-maternidade e licença-paternidade;
- Bicicletário;
- Vestiário;
- Espaço de convivência - Videogame, mesa de sinuca, playball, churrasqueira, chopeira, lanchonete, diversos locais de descanso, redes, cesta de basquete e horta colaborativa e orgânica.
O BANCO DA SUA VIDA
Atendemos pessoas físicas, MEIs e PMEs em todos os estados do Brasil. Sem agências físicas, oferecemos mais de 90 produtos e serviços financeiros feitos para todos os perfis de clientes.
Estamos localizados em São Paulo-SP e contamos com mais de 3.000 CSixers que estão sempre a mil por hora. Em pouco mais de cinco anos, conquistamos muitos prêmios e reconhecimentos.
No C6 Bank, acreditamos que a diversidade impulsiona a inovação e fortalece nosso ambiente de trabalho. Por isso, promovemos uma cultura inclusiva, que valoriza a equidade e garante oportunidades para todas as pessoas, independentemente de raça, cor, idade, credo, deficiência, nacionalidade, estado civil, orientação sexual, identidade ou expressão de gênero. Aqui, todo mundo é bem-vindo para ser quem é.
Confira mais informações no vídeo abaixo:Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Other
- Industries Banking
Referrals increase your chances of interviewing at C6 Bank by 2x
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#J-18808-LjbffrDeep Learning Engineer - 1 Vaga
Publicado há 25 dias atrás
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A Board Academy é um time apaixonado por inovação e transformação.
Somos uma empresa especializada na Formação, Desenvolvimento e Certificação de Conselheiros, criada para revolucionar o modelo tradicional de desenvolvimento de conselheiros. Nossa proposta é disruptiva e, ao mesmo tempo, busca democratizar o acesso às posições nos Conselhos de Empresas.
Acreditamos que a formação profissional é essencial para a disseminação das boas práticas de governança corporativa e pode ser um grande diferencial na geração de valor e no sucesso dos negócios.
Missão do Cargo
Buscamos um Deep Learning Engineer para atuar no desenvolvimento de soluções baseadas em inteligência artificial com foco em redes neurais profundas. Essa pessoa será responsável por estruturar, treinar e otimizar modelos de deep learning aplicados às nossas soluções educacionais, operacionais e estratégicas.
Se você tem paixão por IA, gosta de construir soluções escaláveis e quer gerar impacto real com tecnologia de ponta, essa vaga é para você!
Responsabilidades e Atribuições
- Desenvolver, treinar e implementar modelos de deep learning aplicados a problemas reais de negócio;
- Trabalhar com dados estruturados e não estruturados (texto, imagem, voz);
- Colaborar com times de produto, dados e negócios para identificar oportunidades de aplicação de IA;
- Monitorar e melhorar a performance de modelos em produção;
- Documentar processos e garantir reprodutibilidade e boas práticas de engenharia de IA;
- Acompanhar avanços da área e propor inovações tecnológicas para o Board AI.
Deep learning engineer - 1 vaga
Publicado há 2 dias atrás
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Descrição Do Trabalho
A Board Academy é um time apaixonado por inovação e transformação.
Somos uma empresa especializada na Formação, Desenvolvimento e Certificação de Conselheiros, criada para revolucionar o modelo tradicional de desenvolvimento de conselheiros. Nossa proposta é disruptiva e, ao mesmo tempo, busca democratizar o acesso às posições nos Conselhos de Empresas.
Acreditamos que a formação profissional é essencial para a disseminação das boas práticas de governança corporativa e pode ser um grande diferencial na geração de valor e no sucesso dos negócios.
Missão do Cargo
Buscamos um Deep Learning Engineer para atuar no desenvolvimento de soluções baseadas em inteligência artificial com foco em redes neurais profundas. Essa pessoa será responsável por estruturar, treinar e otimizar modelos de deep learning aplicados às nossas soluções educacionais, operacionais e estratégicas.
Se você tem paixão por IA, gosta de construir soluções escaláveis e quer gerar impacto real com tecnologia de ponta, essa vaga é para você!
Responsabilidades e Atribuições
- Desenvolver, treinar e implementar modelos de deep learning aplicados a problemas reais de negócio;
- Trabalhar com dados estruturados e não estruturados (texto, imagem, voz);
- Colaborar com times de produto, dados e negócios para identificar oportunidades de aplicação de IA;
- Monitorar e melhorar a performance de modelos em produção;
- Documentar processos e garantir reprodutibilidade e boas práticas de engenharia de IA;
- Acompanhar avanços da área e propor inovações tecnológicas para o Board AI.
Requisitos:
- Sólida experiência com desenvolvimento de modelos de deep learning (CNN, RNN, Transformers etc.);
- Domínio de bibliotecas como TensorFlow, PyTorch ou similares;
- Experiência prática com tratamento de dados, pré-processamento e pipelines de machine learning;
- Conhecimentos em MLOps, versionamento de modelos e deploy em ambientes de produção;
- Familiaridade com nuvens públicas (AWS, GCP ou Azure) e ferramentas de CI/CD;
- Diferencial: experiência com LLMs (Large Language Models) e NLP.
Cientista de Dados | Deep Learning (Transformers)
Publicado há 11 dias atrás
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Sobre a Área
Estamos buscando um(a) Cientista de Dados com sólida experiência em treinamento de arquiteturas baseadas em Transformers. Esta posição combina forte base conceitual em Deep Learning com experiência prática em desenvolvimento de Modelos Fundacionais (from scratch e fine-tuning) comTensorFlow e PyTorch.
Sobre a Área
Estamos buscando um(a) Cientista de Dados com sólida experiência em treinamento de arquiteturas baseadas em Transformers. Esta posição combina forte base conceitual em Deep Learning com experiência prática em desenvolvimento de Modelos Fundacionais (from scratch e fine-tuning) comTensorFlow e PyTorch.
No Seu Dia a Dia
- Projetar, implementar e produtizar modelos de deep learning baseados em Transformers para tarefas multimodais, utilizando bases de dados proprietárias.
- Otimizar modelos para desempenho, escalabilidade e eficiência de inferência.
- Conduzir experimentos, analisar resultados e iterar continuamente para melhorar a performance dos modelos.
- Desenvolver pipelines automatizadas para treinamento, implantação e retreino de modelos.
- Criar framework de avaliação e monitoramento dos modelos em produção.
- Manter-se atualizado com as pesquisas mais recentes em Deep Learning e Transformers.
- Criar pipelines de dados eficientes para ingestão nos modelos de larga escala.
- Mestrado ou Doutorado em Ciência da Computação, Aprendizado de Máquina, Inteligência Artificial ou áreas relacionadas.
- Sólida compreensão de fundamentos de deep learning, com foco em arquiteturas Transformers: Encoder-only, Decoder-only, Encoder-decoder (ex.: BERT, BART, GPT, ViT).
- Proficiência em TensorFlow e PyTorch.
- Forte habilidade de programação em Python e familiaridade com bibliotecas e ferramentas de ML/DL (ex.: Hugging Face, CUDA).
- Experiência em treinamento de modelos com grandes volumes de dados, ajuste de hiperparâmetros e treinamento distribuído.
- Bom entendimento de pré-processamento de dados, engenharia de atributos e métricas de avaliação.
- Participação nos Lucros e Resultados (PLR);
- Auxílio Alimentação e Refeição;
- Plano Médico;
- Plano Odontológico;
- Auxílio Creche/Babá;
- Vale Transporte;
- WellHub;
- TotalPass;
- Programa de Apoio Pessoal (EAP);
- Planos por adesão como Previdência Privada e Seguro de Vida;
- Desconto em Farmácia;
- Programa de Nutrição;
- Programa de Gestantes;
- Licença Maternidade e Paternidade Estendida – empresa Cidadã.
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Cientista de Dados Pleno | Vaga Afirmativa para Pessoas Negras ou Pardas #J-18808-LjbffrDeep Learning Architect, AWS Gen AI Innovation Center

Publicado há 5 dias atrás
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Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
- Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
- Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
- Provide customer and market feedback to product and engineering teams to help define product direction
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 3+ years of experience in designing, building, and/or operating cloud solutions in a production environment
- 2+ year experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 2+ years of hands on experience with Python to build, train, and evaluate models
- 2+ years of technical client engagement experience
- Ability to communicate in a business setting in English
Preferred Qualifications
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Strong working knowledge of deep learning, machine learning, generative AI, and statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Senior Deep Learning Architect, AWS Gen AI Innovation Center
Publicado há 11 dias atrás
Trabalho visualizado
Descrição Do Trabalho
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real-world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost-efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
We’re looking for top architects, system and software engineers capable of using ML, Generative AI, and other techniques to design, evangelize, implement, and fine-tune state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
- Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges.
- Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers, and guide them on adoption patterns and paths to production.
- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders.
- Provide customer and market feedback to product and engineering teams to help define product direction.
BASIC QUALIFICATIONS
- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years of experience in designing, building, and/or operating cloud solutions in a production environment
- 4+ years experience hosting and deploying ML solutions (e.g., for training, fine-tuning, and inference)
- 4+ years of hands-on experience with Python to build, train, and evaluate models
- 4+ years of technical client engagement experience
- Ability to communicate in a business setting in English
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- 3+ years experience working with deep learning, machine learning, generative AI, or statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
#J-18808-LjbffrSenior Deep Learning Architect, AWS Gen AI Innovation Center

Publicado há 10 dias atrás
Trabalho visualizado
Descrição Do Trabalho
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
- Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
- Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
- Provide customer and market feedback to product and engineering teams to help define product direction
A day in the life
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years of experience in designing, building, and/or operating cloud solutions in a production environment
- 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 4+ years of hands on experience with Python to build, train, and evaluate models
- 4+ years of technical client engagement experience
- Ability to communicate in a business setting in English
Preferred Qualifications
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- 3+ years experience working with deep learning, machine learning, generative AI, or statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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Sales Development Representative - AI Innovation Pioneer
Publicado há 11 dias atrás
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Descrição Do Trabalho
Copilot Innovations
Location: Remote (Global) | Hours: US Time Zones (CST/EST) | Industry: Artificial Intelligence
Are You Ready to Shape the Future of Business with AI?
At Copilot Innovations ( we're not just riding the AI wave—we're creating it. As a leading AI innovation company, we partner with ambitious mid-market businesses to unlock exponential growth through intelligent automation and cutting-edge AI solutions. We're seeking a dynamic Sales Development Representative who shares our passion for AI and wants to be at the forefront of the most transformative technology revolution of our lifetime.
The Opportunity
This isn't your typical SDR role. You'll be joining a mission-critical team that's redefining how businesses think about and implement AI. Working with decision-makers who are eager to harness AI's potential, you'll play a pivotal role in connecting innovative solutions with companies ready to leap into the future.
What You'll Do
Strategic Outreach & Relationship Building
- Execute sophisticated LinkedIn and email outreach campaigns to engage C-level executives and IT decision-makers
- Leverage AI-powered prospecting tools and bespoke technologies to identify and connect with high-value prospects
- Build meaningful relationships with mid-market companies seeking AI transformation
- Support webinar promotion and participate in AI workshop facilitation
- Contribute to thought leadership content that positions our company as the go-to AI innovation partner
- Educate prospects on AI opportunities and help them envision their digital transformation journey
- Generate qualified appointments and build robust sales pipeline
- Work collaboratively with senior sales team to advance opportunities
- Maintain detailed prospect intelligence and relationship mapping
- Experiment with emerging AI tools and sales technologies to maximize efficiency
- Continuously refine and optimize outreach strategies based on data and results
- Contribute fresh ideas to evolve our dynamic sales development process
Essential Qualifications
- AI Fluency: Hands-on experience with AI tools (ChatGPT, Claude, etc.) and genuine enthusiasm for AI innovation
- Communication Excellence: Superior written and verbal English communication skills
- Creative Problem-Solver: Ability to think outside traditional sales development frameworks
- Schedule Flexibility: Willingness to work US business hours (CST/EST) regardless of location
- Growth Mindset: Openness to dynamic processes and continuous learning
- Previous SDR or business development experience (preferred but not required for exceptional candidates)
- Experience with LinkedIn Sales Navigator, email automation tools, and CRM systems
- Interest in or knowledge of B2B technology sales
- Understanding of mid-market business challenges and decision-making processes
Financial Rewards
- Competitive base salary
- Performance-based bonuses tied to appointments generated and pipeline contribution
- Transparent compensation structure with growth potential
- Work from anywhere in the world
- Flexible remote culture with focus on results, not location
- US timezone alignment with global team collaboration
- Be part of the AI revolution from the ground floor
- Work alongside industry experts and thought leaders
- Access to cutting-edge AI tools and technologies
- Clear path for advancement within a rapidly growing company
- Join a diverse, global team spanning 7+ countries
- Collaborative environment that values innovation and creative thinking
- Direct access to leadership and decision-makers
- Impact-driven mission with meaningful work
If you're energized by the possibility of helping businesses transform through AI, thrive in dynamic environments, and want to build a career at the intersection of technology and human potential, we want to hear from you.
This is more than a job—it's your opportunity to be part of the team that's defining how the next generation of businesses will operate, compete, and win.
Apply now and help us turn AI possibilities into business realities.
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IpMUUyGtU7 Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Sales and Business Development
- Industries Internet Publishing
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#J-18808-LjbffrArtificial Intelligence Engineer
Publicado há 9 dias atrás
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Descrição Do Trabalho
Descrição da vaga
Estamos desenvolvendo a Plataforma de Inteligência Artificial do Banco Safra, criando produtos e serviços que viabilizam o uso de IA em escala. Nosso foco é acelerar a adoção da tecnologia por times de engenharia e áreas de negócio, promovendo eficiência, inovação e melhor experiência para colaboradores e clientes.
Responsabilidades e atribuições:
Pelo desenvolvimento de soluções de Inteligência Artificial que habilitam o uso da tecnologia em escala. As principais atividades incluem o design e implementação de serviços, APIs e componentes da Plataforma de IA, garantindo escalabilidade, segurança e integração com os sistemas internos. O profissional atuará em colaboração com times de engenharia e áreas de negócio, contribuindo para a evolução da arquitetura e das práticas de desenvolvimento da área.
Profissional com sólida experiência em desenvolvimento back-end, incluindo design e implementação de sistemas distribuídos, serviços escaláveis e integração com bancos de dados. É desejável conhecimento em arquitetura de microsserviços, boas práticas de engenharia de software e APIs RESTful. Experiência prática com integração de modelos de IA Generativa em produtos ou serviços será considerada um diferencial. Buscamos perfis analíticos, com visão estratégica e capacidade de colaborar em ambientes multidisciplinares e de alta complexidade técnica.
Requisitos:
Ensino Superior completo em TI, Análise e Desenvolvimento de Sistemas, Engenharias ou cursos correlatos.
Indispensável:
- Experiência com Node.js ou Python para desenvolvimento back-end
- Conhecimento em bancos NoSQL (ex: MongoDB, Redis)
- Práticas consolidadas de versionamento de código, testes automatizados e CI/CD
- Experiência com ambientes de cloud computing (ex: AWS, GCP, Azure)
- Familiaridade com documentação e versionamento de APIs
- Conhecimento em observabilidade e monitoramento de serviços (ex: Prometheus, Grafana)
Desejável:
- Experiência com IA Generativa e integração com modelos via API
- Conhecimento em Vector Stores e técnicas de recuperação de contexto
- Desenvolvimento de Agentes baseados em IA
- Familiaridade com protocolos abertos de comunicação (ex: MCP, A2A)
Informações adicionais
- Trilhas de capacitação acadêmica e técnica;
- Oportunidade de encarreiramento;
- Vale Refeição e Vale Alimentação;
- Vale Transporte;
- Convênio médico e odontológico;
- Seguro de Vida;
- Condições especiais em nossos produtos financeiros;
- Auxílio Creche / Babá;
- Incentivo educacional;
- Totalpass;
- J. Safra Clube (descontos em farmácias, lazer, bem estar e saúde, educação, colônia de férias no litoral Sul de São Paulo).
Disponibilidade para atuar na Avenida Paulista - São Paulo.
Artificial Intelligence Engineer
Publicado há 13 dias atrás
Trabalho visualizado
Descrição Do Trabalho
Location: San Francisco, CA - Remote (LATAM preferred)
Work Type: Full-Time
We’re partnering with a confidential, high-growth technology company in Silicon Valley that’s building AI-powered platforms. This team moves fast, cares about craftsmanship, and empowers engineers to own meaningful work for the long term.
This is a full-time, remote opportunity to join a global-first product team tackling complex problems with modern tech and a culture that values quality and speed.
What You’ll Do
- Design, build, and maintain features across the stack.
- Collaborate closely with product, design, and engineering peers to ship high-quality work.
- Write clean, well-tested, well-documented code.
- Contribute to architecture decisions, technical planning, and code reviews.
- Help shape team workflows, best practices, and developer experience.
What You Bring
- 5+ years of professional experience in software development as a Full Stack Developer.
- 2+ years of professional experience as an AI/ML Engineer.
- Proficiency with Python, React, Express, MongoDB, Node or equivalent .
- Strong understanding of APIs, performance, scalability, etc.
- Clear, proactive communication and comfort working on distributed, async teams.
- A product mindset and strong sense of ownership.
- Startup or high-growth team background
- Proficiency in English
- Passion for building scalable systems and great user experiences.
What You’ll Get
- Competitive compensation in USD.
- 100% remote with flexible hours.
- Long-term, product-focused work with clear ownership.
- A smart, collaborative, globally distributed team.
If you’re excited to work with a fast-moving team building the future of AI at scale — let’s connect.