Top Artificial Intelligence Jobs in Brazil

Early-career engineer role building AI-driven features, prototypes, and production-quality systems using modern AI coding agents. Work closely with founders and senior engineers to iterate fast, direct and evaluate AI agents, and contribute to AI infrastructure and agentic development workflows.

Lead development of AI-native production systems: convert AI-assisted prototypes into scalable, secure software; own architecture, reliability, and technical direction; direct and control AI coding agents; define engineering standards and workflows; collaborate with founders on product and strategy; debug complex issues and elevate engineering quality.

Create high-volume, high-quality marketing content using generative AI and AI agents (video, image, social). Develop timely campaign ideas, track AI and cultural trends, experiment with formats, and work closely with founders and the marketing team to shape brand voice and growth.

Build end-to-end AI-driven outbound sales systems for SMB merchants: design AI agent workflows, ingest and enrich leads, score and segment data, run GTM experiments, integrate with CRM and BigQuery, monitor funnel metrics, implement human-in-the-loop handoffs, and iterate on performance and safety.

Design, develop, and maintain full-stack applications using Python/Java, React, and AWS. Integrate and evaluate LLM/GenAI solutions into the CRM, build RESTful APIs, optimize PostgreSQL/Oracle databases, implement AWS Kinesis streaming, and write clean, testable code while working independently.

Design and build cloud-native AI web applications that integrate LLMs, vector search, real-time data and Databricks platforms. Lead architecture and full-stack implementation (Python backends, React/Angular frontends), implement RAG pipelines, model serving and CI/CD, and guide cross-functional teams to deliver production-ready solutions.

Design, build, evaluate, and deploy production-grade LLM and classical ML solutions. Create retrieval and agentic workflows, integrate AI into client apps, implement evaluation frameworks, optimize prompts and pipelines, and collaborate with product teams through discovery to production support.

As an AI Operations & Automation Specialist, you will optimize finance and HR operations through automation, AI implementation, and process improvement while ensuring data integrity and supporting various teams in the company.

Design and build Claude-based AI developer tools and agentic systems to automate and accelerate the SDLC. Develop multi-agent workflows, integrate AI tooling with existing application stacks, prototype proofs-of-concept, ensure scalable maintainable solutions, and collaborate with senior technical leadership on architecture and productization.

Design, build, and deploy production-grade agentic workflows and AI products end-to-end. Collaborate with Product and Engineering, mentor engineers, establish AI engineering standards, and deliver scalable polyglot solutions while driving AI adoption and best practices.

Design and implement Claude-based AI agents and agentic workflows to automate and improve the SDLC. Rapidly prototype multi-agent systems, integrate AI tools with existing stacks, ensure scalable maintainable solutions, and collaborate with senior technical leadership on architecture and production-ready implementations.

Design, build, and deploy AI-powered applications and intelligent workflows using LLMs. Integrate HubSpot, CRM, EHR, and third-party systems via APIs. Optimize prompts, create automation, dashboards, and monitoring; ensure data quality, governance, and production-grade MLOps. Collaborate with cross-functional teams and provide training and documentation.

Design and build AI-powered IT help desk automation using AWS Bedrock and serverless tech. Develop AI agents for ticket triage, routing, IAM automation, REST integrations with enterprise systems, and scalable cloud-native architectures. Collaborate on architecture, integrations, and agent performance improvements.

Design and build enterprise-grade AI solutions using AWS Bedrock, develop AI agents and RAG pipelines, integrate ServiceNow and SAP, create secure REST APIs and document-processing workflows, build React frontends, implement GenAI CI/CD and Responsible AI governance, and collaborate with engineering and business teams to scale AI-powered automation.

As an AI Engineer at Vega, you'll design and implement AI systems, develop LLM-based applications, and optimize AI performance for cybersecurity solutions.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

The AI Services Consultant II at Zendesk provides technical guidance and solutions for AI projects, ensuring successful integration and customer satisfaction. Responsibilities include managing project delivery, facilitating change management, and leveraging technical expertise in AI.

Design and author original, competition-level math problems and rigorous LaTeX solutions across Algebra, Number Theory, Combinatorics, and Geometry. Evaluate AI-generated mathematical reasoning, identify errors or gaps, classify problem difficulty and domain, and contribute to benchmark development and reviewer collaboration. Contractor, remote, 20-40 hrs/week for three months.

Own and optimize AI-powered support tools (chatbots, agent copilots, knowledge retrieval, automation). Monitor performance, identify automation opportunities, create and test prompts/workflows, maintain training data, coordinate integrations, and produce documentation and training for support teams.

Design, build, and own AI-powered platforms and full-stack systems from discovery through production. Implement AI-driven features, automation, and orchestration, integrate AI into customer-facing and internal products, ensure reliability/security/auditability, support production incidents, and mentor teammates.

Lead design, build, and own AI-powered platforms and full-stack systems. Deliver end-to-end projects from discovery to production, embed AI into products and workflows, ensure reliability/security, support incidents, and mentor team members.

Design, develop, and deploy production-grade AI automation using LLMs, MCP servers, RAG, and knowledge graphs. Build integrations, backend logic, data pipelines, and prompt-engineered workflows. Collaborate across cloud, data, security, and business teams to deliver secure, scalable, and maintainable AI solutions.

Design, develop, and deploy LLM-based AI automation solutions including MCP servers, prompt engineering, RAG pipelines, AI agents, knowledge graphs, Python backends, SQL data pipelines, and cloud integrations. Collaborate with stakeholders, lead teams, ensure security, scalability, monitoring, and enterprise alignment.

Design, develop, and deploy production LLM-powered applications and APIs, implement RAG and document-processing workflows (OCR + LLM), build conversational interfaces, ensure reliability and fallbacks, and collaborate with product teams.

The AI Video Specialist will produce AI-generated video assets using Higgsfield, ensuring realistic human movement and directing complex scenes while blending outputs with post-production tools.