AI Engineer (Senior)

Jobgether; Brasil; Presencial; BRL 250.000 - 420.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Meal allowances

Life insurance

Continuous learning

Wellness programs

Paternity leave

Descripción de la vacante

Jobgether, on behalf of a partner, is seeking a Senior AI Engineer based in Brazil to design and deploy advanced AI-powered applications for a major US financial services client. You will own end-to-end development from architecture to production, integrating LLMs, RAG, and multi-agent systems, with Python and React.

You will mentor engineers, contribute to AI engineering practices, and help ensure privacy, data security, and regulatory compliance in an international environment.

Formación

• Proven experience as a Senior AI Engineer
• Strong backend development in Python
• Solid frontend experience with React
• Hands-on with LLM-powered apps, including prompt and context engineering
• Experience with vector databases and context data pipelines
• Knowledge of AI evaluation, testing, and red-teaming

Responsabilidades

• Lead end-to-end AI solution development from architecture to production
• Design agentic AI architectures and LLM integrations
• Develop and maintain data pipelines and vector stores for AI agents
• Build backend services and APIs in Python; create user-facing React apps
• Create reusable AI development assets to improve productivity
• Evaluate AI solutions with automated testing and red-teaming practices
• Mentor engineers and lead technical discussions

Conocimientos

Python backend

React frontend

LLMs & RAG

APIs

Microservices

CI/CD

Observability

Mentoring

Code reviews

English fluent

Herramientas

Vector databases

Descripción del empleo

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

We are looking for a Senior AI Engineer to design, build, and deploy advanced AI-powered applications for a major US financial services client. In this role, you will develop an intelligent solution that extracts business and technical requirements from legacy codebases and documentation, helping accelerate complex system modernization. You will take end-to-end ownership of the solution, from architecture and data pipelines to production-ready applications. Working with Python, React, LLMs, RAG architectures, and multi-agent systems, you will leverage cutting-edge AI technologies to solve real-world business challenges. You will operate within an agentic Software Development Life Cycle (SDLC), using AI as a core driver of engineering and delivery. This position also offers the opportunity to provide technical leadership, mentor engineers, and contribute to innovative AI engineering practices in an international environment.

Accountabilities

• Lead the end-to-end development of AI-powered solutions, from architecture and technical design to implementation, testing, and production deployment, using an agentic SDLC approach.
• Design and build agentic AI architectures, including LLM integrations through APIs, Retrieval-Augmented Generation (RAG), tool orchestration, runtime frameworks, system prompts, and safety guardrails.
• Develop and maintain context data pipelines using internal data sources and vector databases to provide AI agents with reliable, relevant, and high-quality information.
• Build backend services and APIs using Python and develop user-facing applications with React.
• Create, customize, and share reusable AI development assets, including agents, skills, subagents, commands, and development harnesses, to improve engineering productivity.
• Evaluate and validate AI solutions through automated testing, evaluation frameworks (evals), and red-teaming practices to identify hallucinations, prompt injection vulnerabilities, and potential data leaks.
• Critically assess AI-generated code and outputs, ensuring they meet technical standards, quality expectations, and business requirements.
• Optimize token consumption and inference costs through effective context management, RAG strategies, and agent-call orchestration.
• Implement observability across applications and agent workflows to monitor performance, behavior, output quality, and operational costs.
• Act as a senior technical reference, leading complex technical discussions, reviewing code, and mentoring other engineers.
• Collaborate with AI Deployment Engineers and AI Orchestrators to ensure solutions are production-ready and delivery remains predictable.
• Apply ethical AI principles and ensure compliance with privacy, data security, and regulatory requirements.
• Support delivery continuity through clear technical documentation and effective knowledge transfer.

Requirements

• Proven experience as a Senior AI Engineer, with a strong track record of building and deploying AI-powered applications in production environments.
• Strong backend development skills in Python, including APIs, services, and data processing.
• Solid frontend development experience with React.
• Hands-on experience developing LLM-powered applications, including prompt engineering, context engineering, RAG, tool orchestration, and multi-agent architectures.
• Experience working with vector databases and context data pipelines.
• Knowledge of AI evaluation methodologies, automated testing, probabilistic behavior assessment, and AI red-teaming practices.
• Practical experience using AI coding agents and developing custom agents, skills, or commands to accelerate software delivery.
• Strong software architecture and engineering fundamentals, including microservices, event-driven architectures, CI/CD, Test-Driven Development (TDD), and observability.
• Experience with code analysis, document processing, parsing, or text extraction solutions.
• Ability to provide technical leadership, conduct code reviews, solve complex engineering challenges, and mentor team members.
• Fluent English proficiency (B2 level or higher), both written and spoken.
• Strong analytical thinking, problem-solving abilities, and effective communication skills.

Nice To Have

• Experience analyzing, maintaining, or modernizing legacy codebases, including COBOL, Java, .NET, or similar technologies.
• Knowledge of advanced RAG architectures and knowledge graphs.
• Familiarity with LLM observability and evaluation tools.
• Experience working with Microsoft Azure.
• Experience with model fine-tuning techniques.
• Previous experience in financial services, banking, or the mortgage industry.

Benefits

• Health and dental insurance.
• Meal and food allowances.
• Childcare assistance.
• Extended paternity leave.
• Gym and wellness partnerships through Wellhub (Gympass) and TotalPass.
• Profit Sharing and Results Participation (PLR).
• Life insurance.
• Access to a continuous learning platform through CI&T University.
• Discount club with access to exclusive offers.
• Free online platform dedicated to physical, mental, and overall well-being.
• Pregnancy and responsible parenting courses.
• Partnerships with online learning platforms.
• Access to language learning programs.
• Additional health, wellness, and professional development initiatives.
• Inclusive workplace with dedicated well-being professionals, inclusion specialists, and affinity groups.
• Support and reasonable accommodations throughout the recruitment process for professionals with disabilities.

We appreciate your interest and wish you the best!