Top Artificial Intelligence Jobs in Brazil

Build the data foundation and LLM analysis layer for a Creative Engine: ingest and structure multi-platform performance and sales data, run video analysis with Gemini and Claude, implement semantic search with pgvector, connect signals into a queryable intelligence layer, integrate platform APIs, and own full-stack features (Django + HTMX + Tailwind) with async pipelines (Celery + Redis).

As an AI Engineer, you will develop and implement internal automation workflows, integrating various tools and APIs to improve productivity in design and development processes, primarily using LangChain and related frameworks.

Lead discovery and design of enterprise AI solutions, configure AI agents and knowledge structures in PIPE44, guide client onboarding and adoption, measure outcomes, and collaborate with engineers to implement and improve AI operating models and governance.

The GTM Engineer will design and build automated systems for the company's go-to-market engine, focusing on revenue technology and AI capabilities across various teams and markets.

Lead Oyster's data platform and AI strategy, centralize AI initiatives into production systems, build scalable data and MLOps infrastructure, modernize knowledge architecture and semantic search, partner cross-functionally to embed AI into products and workflows, enforce tooling standards and governance, and drive organizational adoption and change management for AI-assisted operations.

Lead identification, design, deployment, and measurement of AI-powered automation across operations. Build agent and workflow automations, partner with Product/Engineering/Commercial, create dashboards in Metabase, close data gaps, document processes, and evangelize AI tooling to increase operational efficiency.

Design, build, and operate AI-powered backend services and APIs for production LLM features. Ensure reliability, low latency, cost efficiency, observability, and event-driven architectures; review designs and help move experiments to production.

Design and lead architecture for scalable, secure cloud-native SaaS using .NET. Drive API-first, microservices, event-driven patterns; mentor engineers; collaborate with Product, DevOps, and AI teams; champion AI-first tooling and agentic workflows to improve productivity and automation.

Serve as technical owner of product quality for AI, automation, and software solutions. Build QMS, design and automate test plans across front-end, backend, AI agents, integrations, and data pipelines. Implement automated test suites, monitoring, drift detection, and intelligent alerts. Validate agent behavior, prompt quality, and large-scale workflow reliability. Partner with engineering and engagement teams to define acceptance criteria, communicate findings, and act as final technical quality gate for client deliverables.

As an AI Data Expert, you will review AI outputs, generate content, and provide structured annotations to improve AI models, ensuring cultural relevance and adherence to guidelines.

Produce high-performing AI-driven paid ads from concept to final cut using AI avatars, voiceovers, b-roll, and motion graphics. Match and iterate on existing ad styles, collaborate with copywriters, optimize for hooks/pacing/CTAs, scale volume, and stay current with AI tools to innovate creative formats.