Top Artificial Intelligence Jobs in Brazil

Design and implement agent frameworks and orchestration for enterprise clients, integrating LLMs, retrieval, tools, and APIs. Build multi-step reasoning, evaluate agent performance, maintain reusable reasoning templates, and guide engineering teams on orchestration best practices while collaborating with clients.

Own post-sale AI customer journey: lead multiple AI implementation projects, manage timelines and risks, coordinate engineering/data teams, drive customer relationships, identify expansion opportunities, and improve delivery processes and playbooks.

Design, develop, fine-tune, deploy, and monitor generative AI and ML models; build data pipelines and integrations; implement automation and agentic systems using tools like LangChain and REST APIs; evaluate emerging AI tools; collaborate with cross-functional teams and mentor junior engineers.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

The Backend Engineer will design and implement AI agents, build scalable backend services, optimize RAG pipelines, and manage vector databases while collaborating with cross-functional teams.

The role involves developing full-stack applications for mental healthcare, utilizing TypeScript, Node.js, React, and AI tools. Candidates will own features end-to-end and collaborate with teams to enhance user experience and system performance.

As a Senior Software Engineer, you'll develop full-stack applications, design backend services, improve system performance, and utilize AI tools in a healthcare-focused team.

The AI/ML Engineering Manager will lead a team of ML engineers, manage client engagements, shape architecture, and drive pre-sales while ensuring team growth and performance.

Lead design and governance of a semantic layer and AI capabilities for commercial and medical data in oncology. Build and prototype GenAI/RAG solutions, define guardrails, ensure compliance (HIPAA/GDPR/GxP), integrate with BI/CRM, and drive adoption through cross-functional collaboration, monitoring, and documentation.

Design and build backend systems and APIs to run real-time, business-critical accounting logic. Ship features end-to-end (architecture, CI/CD, testing, monitoring), integrate third-party systems, manage edge cases and production readiness, and maintain strong database schemas and migrations.

Lead research and engineering for large-scale LLM and multi-modal pre-training: design architectures and tokenizers, curate massive datasets, run distributed training on thousands of GPUs, debug performance bottlenecks, and improve cross-modal alignment and efficiency.

As an AI Creative Director, you'll lead creative teams, integrate AI tools into workflows, mentor members, and collaborate with brands to develop innovative strategies.

The AI-First Full-Stack Engineer will lead full-stack development using Node.js and Next.js, integrating AI workflows and orchestrating Claude agent teams for efficient engineering processes, ensuring compliance with healthcare standards.

As a GTM Engineer / AI Engineer, you'll architect and scale systems for growth, develop AI workflows, and unify tools like Salesforce and HubSpot to enhance the customer lifecycle.

Teach and mentor students full-time (40 hrs/week) in AI software engineering topics. Lead live lessons and Q&A, provide 1:1 support, review projects, give actionable feedback, troubleshoot code, and share industry best practices to help students progress and meet program standards.

Build and deliver practical AI-for-managers learning: teach live workshops, create curricula, design exercises and assessments, advise on AI strategy, governance, change management, and adoption. Part-time (10–15 hrs/week) remote work aligned to European time zones.

Full-time (40 hrs/week) instructor supporting students: lead live lessons and Q&A, provide 1:1 mentoring, respond to messages, review projects, troubleshoot code, and deliver actionable feedback and industry insights.

Join a talent pool of instructors, authors, and subject-matter experts to deliver live workshops, create course content, and shape curriculum for AI-powered automation. Teach and demonstrate real-world automation using Make, Zapier, n8n, Power Automate, UiPath, API integrations, prompt engineering, and RPA. Part-time (10–15 hrs/week), remote with collaboration during European time zones.

Teach and mentor experienced engineers transitioning to system architecture: lead live sessions and office hours, review and assess projects, run architecture review boards, provide written feedback, record instructional videos, and act as escalation lead for supporting instructors.

Full-time remote instructor mentoring students in AI automation: run 1:1 calls, live Q&A, webinars, assess projects, create resources, host mock interviews, and foster community. Provide actionable feedback and industry best practices to help students transition into tech roles.

Build and deliver part-time (10–15 hrs/week) instructional content and workshops teaching practical AI adoption for business functions. Create course materials, assessments, prompts, and competency frameworks; review content for accuracy; collaborate with instructional designers; and support curriculum updates. Roles include instructors, authors, and subject-matter experts across sales, marketing, L&D, and organizational transformation.

Design, develop, test, and deploy fullstack software solutions. Collaborate with product, operations, AI engineers, and data scientists. Implement CI/CD, contribute to architecture, and maintain cloud-deployed services.

The role involves onboarding new clients, configuring AI assistants, managing onboarding timelines, and providing client support to ensure successful implementations.

Seeking a Software Engineer with 5+ years in AI/ML to design and implement scalable web APIs and applications, focusing on generative AI solutions, while engaging cross-functional teams and mentoring junior developers.

Build responsive, accessible Next.js and React applications for marketing storefronts and clinical platforms. Implement Figma designs, optimize Core Web Vitals, manage client-side state, integrate REST and real-time services, and create AI-powered conversational interfaces while following HIPAA/SOC2 security practices.