Top Artificial Intelligence Jobs in Brazil

As a Staff Software Engineer, you'll design and deliver a core data platform, focusing on architecture, pipeline components, and AI integration. This hands-on role emphasizes creating production code and establishing technical standards within a small team.

Provide senior accounting and finance advisory for SMBs: analyze financial data, answer complex accounting questions, review QuickBooks Online records, recommend bookkeeping workflows, reconciliations, and reporting, and advise owners and finance stakeholders.

Own and grow the Data Layer: build and operate ingestion, transformation, reconciliation, and serving pipelines (raw→refined→curated). Use agentic AI tools to accelerate delivery, ensure data correctness, and partner with backend, AI, and product teams to define reliable data contracts.

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.

Design and run AI-enhanced sourcing campaigns, maintain structured talent pipelines in Google Workspace, conduct market research and competitor mapping, automate repetitive tasks, ensure accurate data and excellent candidate experience, and evolve sourcing strategies using free LLM and automation tools.

The AI Senior Engineer will develop systems that integrate vision and logic, extract data from complex documents, and build AI pipelines using frameworks like LangChain while ensuring efficient PDF processing and prompt engineering.

The AI Senior Engineer will design and develop ETL pipelines for graph ingestion, manage data ingestion at scale, ensure graph hygiene, and handle temporal relationships while focusing on performance tuning.

Design and maintain scalable Python backends, integrate generative AI (LLMs, RAG, fine-tuning) into client products, communicate with clients, ensure code quality, and document services.

Design, build, and deploy Python-based microservice APIs that call LLMs and generative models to automate business processes and support game services. Translate business requirements into API specs, integrate services across systems, collaborate with DevOps for cloud deployments, optimize AI model performance, write and debug core AI code, and communicate with cross-functional stakeholders.

Partner with enterprise customers to design, prototype, and deploy generative AI solutions using OpenAI APIs. Provide technical guidance, shape AI roadmaps, lead cross-functional projects from prototype to production, scale best practices, and relay high-signal feedback to Product, Engineering, and Research teams.

Own delivery of AI agent deployments for consumer brands from kickoff to sustained automation performance. Manage complex multi-stakeholder projects, diagnose CX ops issues (helpdesk configuration, routing, automation), monitor metrics, provide proactive updates, and co-lead strategic accounts while feeding operational patterns back to product.

Partner with enterprise customers to design, build, and deploy production AI systems. Prototype, evaluate, integrate, and scale solutions while addressing reliability, security, governance, latency, cost, and safety. Write and debug code, build evaluation harnesses, resolve integrations, and create reusable tooling and playbooks to drive sustained adoption and measurable business outcomes.

Lead architect and hands-on builder for AI solutions: evaluate feasibility and data readiness, translate business problems into technical and algorithmic requirements, design high-level architectures and prototypes, drive PoC to production handover, set MLOps/API standards, mentor team, and align North American implementations with European enterprise governance.

Build and operate AI-powered backend services and APIs for production LLM features. Own quality, latency, cost, observability, and reliability; ship experiments to production; review designs and collaborate across product, design, data science, and engineering.

Participate in a 14-day remote notification-sorting pilot using a Google Pixel 9+ as primary phone. Interact naturally with apps that generate notifications, complete daily 10–15 minute tasks, submit daily feedback, and follow confidentiality and project instructions. Must complete language assessment and report technical issues promptly.

Join the AI Special Forces team to provide high-quality customer support, troubleshoot technical issues, and collaborate with teams to enhance client satisfaction with AI technologies.

You will onboard new accounts, support clients with AI tools, and assist in enhancing their business through technology.

As an Onboarding Executive, you will facilitate the onboarding process for new clients, ensuring smooth implementation and effective communication while building AI assistants tailored to client needs.

Assist clients with AI-related technical issues, providing support, troubleshooting, and collaborating with internal teams to ensure customer satisfaction.

The IA Operations Executive aids in onboarding new client accounts, builds AI assistants, aligns client requirements, and ensures successful implementation processes.

Lead architecture and evolution of Juniper Square’s distributed services, cloud infrastructure, and developer platform. Design scalable, multi-tenant, event-driven systems; build paved-road developer tooling, CI/CD, and observability. Hands-on coding, prototyping, and performance troubleshooting. Enable production AI/LLM workloads, ensure security/compliance, support enterprise upmarket needs, and mentor engineering teams to raise operational excellence and reliability.

As an AI/ML Engineer, design and implement AI solutions, collaborate with teams, build ML pipelines, and ensure quality and compliance in healthcare applications.

Support research and analysis across real estate and tech, build small prototypes and tools (Python or no-code), collect/clean data, coordinate with local stakeholders, and help move projects from concept to execution in a fast-moving AI startup. Part-time with opportunity for full-time conversion.

Transform concepts into interactive prototypes using AI design tools, then build production-ready full-stack applications. Emphasize frontend excellence, design system alignment, accessibility, performance, and scalable backend services. Collaborate with designers and innovation leads and document work in spec-driven, ticket-based workflows.

Design and deliver cloud-native, enterprise-grade microservices and REST APIs using Java and Python on Azure. Leverage Databricks, Spark, and Delta Lake, containerization (Docker/Kubernetes), CI/CD and DevOps practices. Apply AI tools to automate engineering workflows, improve code quality, mentor teams, and collaborate with stakeholders across onsite/offshore teams.