Staff AI Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff AI Engineer based in Brazil.

This role offers the opportunity to lead the design and delivery of advanced AI-powered solutions that transform complex business challenges into scalable digital products.
You will architect intelligent systems leveraging Generative AI, agentic workflows, and modern software engineering practices.
The position combines technical leadership, hands-on development, and strategic decision-making across AI architecture and implementation.
You will collaborate with multidisciplinary teams to create reliable, production-ready AI experiences with measurable business impact.
The environment encourages innovation, experimentation, and the adoption of emerging AI technologies.
This is an opportunity for a senior technical professional to shape AI capabilities while mentoring engineers and influencing technology direction.

Accountabilities:

The Staff AI Engineer will be responsible for driving the architecture, development, and evolution of AI solutions, ensuring technical excellence, scalability, and alignment with business objectives.

• Own the end-to-end architecture of AI-powered systems, including Generative AI applications, agentic workflows, and multi-agent ecosystems.
• Design scalable approaches for agent coordination, context management, memory strategies, and human-in-the-loop interactions.
• Lead technical decisions around AI model selection, architecture trade-offs, latency, cost optimization, accuracy, scalability, and governance.
• Define evaluation frameworks, monitoring strategies, and safety guardrails to ensure reliable AI system performance.
• Design AI data architectures, including embedding strategies, vector databases, retrieval pipelines, and context management solutions for large-scale data.
• Ensure production readiness through CI/CD practices, containerized deployments, cloud integrations, observability, and reliability engineering.
• Provide technical leadership by mentoring engineers, guiding architecture decisions, and communicating complex concepts to technical and business stakeholders.
• Collaborate with engineering, data, product, and operations teams to align AI initiatives with strategic goals.
• Research and evaluate emerging AI models, frameworks, and architectural patterns to continuously improve AI capabilities.

Requirements:

The ideal candidate brings strong AI engineering expertise combined with software development experience, a strategic mindset, and the ability to deliver complex solutions in production environments.

• Proven experience architecting and implementing AI systems with a strong software engineering foundation.
• Strong programming experience with technologies such as Python/Django, Java/Spring, TypeScript/Express, and API integrations.
• Hands-on experience with agentic AI frameworks such as LangGraph, Google ADK, OpenAI Agents SDK, or CrewAI.
• Experience with tool-calling, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and AI orchestration patterns.
• Strong knowledge of embeddings, vector databases, chunking strategies, and context optimization techniques.
• Experience with AI evaluation and observability platforms such as RAGAS, LangSmith, Arize, or Braintrust.
• Experience building scalable systems using CI/CD, containerization, Kubernetes, and cloud AI services such as AWS Bedrock or Azure AI.
• Advanced prompt engineering and context engineering skills, with the ability to communicate AI concepts clearly to different audiences.
• Experience designing reliable, secure, and high-performance AI applications.
• Strong problem-solving skills, ownership mindset, and ability to work in collaborative, distributed teams.

Preferred qualifications include:

• Experience with modern context enhancement approaches such as Claude Skills.
• Experience building GenAI-powered data analysis pipelines for large unstructured datasets.
• Background in machine learning optimization and integrating AI capabilities into broader software ecosystems.
• Cloud certifications in Data & AI from providers such as AWS, Azure, or Google Cloud.

Benefits:

• Fully remote work model for professionals based in Brazil, with flexible office options available in selected locations.
• Opportunity to work on innovative AI projects with global-scale impact.
• Collaboration with international teams and exposure to advanced technologies.
• Flexible working environment designed to support work-life balance.
• Access to continuous learning and professional development opportunities.
• Career growth opportunities within a technology-driven organization.
• Health and dental insurance.
• Life insurance coverage.
• Monthly allowance supporting meals, culture, education, health, and mobility expenses.
• Childcare assistance and additional employee benefits.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1