Top Artificial Intelligence Jobs in Brazil

As an AI Software Engineer, you will develop Generative AI solutions, manage full-cycle development, implement MLOps pipelines, and ensure compliance with AI standards.

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.

Lead a 25–30 member portfolio to drive retention and growth by advising senior IT and procurement leaders, creating customized engagement plans, delivering on-site briefings and workshops, supporting pre-sale to renewal lifecycle, and collaborating with sales and research to demonstrate value.

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.

Adapt and review scripts for AI dubbing, ensure localized content sounds natural and engaging, review AI-generated dubbing outputs for quality, collaborate with internal teams to improve language and creative outcomes, and manage multiple projects independently to meet deadlines.

Lead AI-native, spec-driven feature development using agentic coding tools. Own end-to-end delivery from executable SDD/BDD specs through production, review AI-generated code for correctness and security, maintain automated tests and CI/CD, mentor engineers, and drive adoption of AI-first development practices across distributed teams.

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.

Senior engineer designing and building cloud-native Java and Python microservices on Azure. Implement secure REST APIs, use Databricks, Spark and Delta Lake for data work, and apply AI-first tools to automate code generation, testing, CI/CD and developer workflows. Mentor teammates, collaborate with architects and stakeholders, and drive engineering productivity and DevOps best practices.

Senior software engineer building cloud-native, AI-first enterprise applications. Own end-to-end microservices, use Azure Databricks/Spark/Delta Lake, automate engineering workflows with AI, mentor teams, and collaborate across product, QA, and DevOps.

Review, evaluate, and annotate AI-generated text, image, audio, and video content for quality and guideline compliance. Perform quality checks, identify edge cases, participate in calibration activities, and provide feedback to improve datasets and annotation workflows.

Lead a squad building AI-powered, regulated fintech products: own architecture, set technical direction and AI guardrails, deliver and run production systems, mentor engineers, hire, and remain hands-on with critical code and incident response. Ensure auditability, observability, and robust integration of LLMs into event-driven, cloud-native services.

Lead end-to-end design and delivery of LLM-backed compliance and risk features: product definition, API design, production deployment, evaluation, human-in-the-loop workflows, observability, and mentoring. Ensure deterministic scaffolding, compliance-safe PII handling, testing, and operational reliability for regulated payment flows.

Client-facing architect role designing and delivering production Applied AI solutions (predictive ML, MLOps, generative AI, LLM apps, RAG, agentic workflows). Lead technical workstreams from discovery through production, advise on cloud/data/AI tech choices, ensure reliability, observability, governance, and support sales and delivery activities.

Use AI-augmented workflows to create marketing campaigns, websites, videos, social content, presentations, and digital assets. Maintain brand quality, prototype and iterate with emerging AI tools, collaborate across teams, and manage multiple projects to improve engagement, conversions, and creative systems.

Design and build AI-first mobile apps using FlutterFlow: create user flows, wireframes, interactive prototypes, and production-ready builds. Integrate REST APIs, auth, state management, caching, and custom code; maintain reusable components and scalable design systems. Leverage AI tools across research, ideation, UI generation, testing, and documentation. Collaborate cross-functionally to iterate, optimize usability and accessibility, and deliver polished production-quality mobile experiences.

Perform outbound prospecting (cold calls, email, LinkedIn) to identify and qualify B2B AI SaaS leads, book discovery calls and demos, maintain CRM records, collaborate with marketing and sales, hit monthly KPIs, and stay current on AI/SaaS trends.

Lead and scale demand generation by building signal-driven, automated GTM systems using AI and no-code tools. Own MQL-to-pipeline metrics, optimize CAC, run performance campaigns, integrate CRM and enrichment workflows, collaborate with sales/RevOps to improve conversions and pipeline ROI.