Engenheiro de IA Sênior

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an Engenheiro de IA Sênior based in Brazil.
Join a technology-driven environment where you will design and build intelligent applications powered by Large Language Models (LLMs). As a Senior AI Engineer, you will lead the development of scalable, production-ready solutions, including chatbots, copilots, and autonomous AI agents. You will work with advanced AI APIs, retrieval-augmented generation architectures, and modern cloud technologies to deliver reliable, secure, and high-performing systems. Your expertise will help optimize model orchestration, improve response quality, and balance performance with operational costs. Collaborating with engineering and analytics teams, you will identify technical bottlenecks and establish robust practices for monitoring and continuous improvement. This remote opportunity is ideal for an experienced engineer who combines hands-on technical expertise with a strong focus on scalability, security, and software quality.
Accountabilities
Design, develop, and maintain intelligent applications powered by LLMs, including chatbots, copilots, and autonomous AI agents.
Integrate and orchestrate APIs from AI model providers, including OpenAI, Anthropic, and other relevant platforms, to deliver effective and scalable AI-powered solutions.
Architect and implement Retrieval-Augmented Generation (RAG) pipelines, managing embeddings, vector search, contextual information, and conversational memory.
Develop robust back-end services using Python or Node.js, integrating REST APIs, microservices, and supporting infrastructure.
Implement guardrails, response validation mechanisms, and AI security controls to improve output reliability and protect applications against threats such as prompt injection and context manipulation.
Optimize model performance, response latency, token consumption, and infrastructure costs while maintaining high standards of reliability and user experience.
Establish monitoring, logging, tracing, and observability practices to track the performance and behavior of LLM-powered systems in production.
Deploy and manage applications in cloud environments such as AWS, Google Cloud Platform (GCP), or Microsoft Azure, using Docker and appropriate deployment practices.
Apply CI/CD principles to streamline development, testing, deployment, and ongoing maintenance.
Collaborate with engineering, analytics, and other technical teams to identify bottlenecks, investigate incidents, and implement effective solutions.
Promote scalable architecture, maintainable code, and engineering best practices throughout the AI application lifecycle.
Proactively identify opportunities to improve system architecture, security, performance, and operational efficiency.
Requirements
Strong experience designing, developing, and deploying applications based on Large Language Models (LLMs), including chatbots, copilots, and AI agents.
Proficiency in back-end development using Python or Node.js, with a solid understanding of REST APIs, microservices, and distributed application architectures.
Practical experience integrating and orchestrating APIs from LLM providers such as OpenAI, Anthropic, or comparable services.
Knowledge of Retrieval-Augmented Generation (RAG), vector embeddings, conversational memory, context management, and semantic search.
Familiarity with frameworks such as LangChain or equivalent tools for building and orchestrating LLM-powered applications.
Experience working with vector databases and search technologies, such as Chroma, OpenSearch, or similar solutions.
Understanding of AI security practices, including protection against prompt injection, context control, response validation, and the implementation of guardrails.
Experience with Docker and cloud platforms such as AWS, GCP, or Azure.
Knowledge of CI/CD pipelines and modern software engineering practices for delivering reliable applications.
Familiarity with production monitoring, logging, tracing, and observability tools for diagnosing issues and measuring system performance.
Strong analytical and systems-thinking abilities, with a proactive approach to identifying bottlenecks and solving complex technical challenges.
A scalability-oriented mindset and the ability to design systems that remain reliable and maintainable as usage and complexity increase.
Excellent organizational skills and attention to detail, with a strong commitment to software quality, security, and operational reliability.
Clear communication skills and the ability to collaborate effectively with engineering, analytics, and other technical stakeholders.
Autonomy, initiative, and a continuous improvement mindset when designing, implementing, and maintaining AI solutions.
Benefits
Meal and food allowance: R$950 per month through an iFood benefits card, for meals and/or groceries.
Health insurance: SulAmérica medical coverage fully funded by the employer.
Dental insurance: MetLife dental plan.
Pet health plan: Access to a dedicated health plan for pets.
Life insurance: Life insurance coverage.
Wellness and fitness: Access to TotalPass and Wellhub to support physical activity and well-being.
Birthday day off: An additional day off to celebrate your birthday.
Sesc partnership: Access to benefits and services through the Sesc partnership.
Travel discounts: Partnership with OnHappy, offering discounts on hotels and travel tickets.
Educational partnerships: Access to partnerships with educational institutions to support learning and professional development.
Childcare reimbursement: Financial support for eligible childcare expenses.
Work equipment: Equipment provided to support your remote work and daily responsibilities.
Feedback and development: A culture that encourages continuous feedback, learning, and professional growth.
Career opportunities: A dynamic work environment with opportunities to develop your skills and advance professionally.
Payroll-deductible loans: Access to payroll-deductible loans with competitive interest rates.
Performance-based variable compensation: Additional variable remuneration based on performance, results, and alignment with organizational values.
Employment arrangement: Formal employment under the Brazilian CLT regime.
Remote work: Work remotely from Brazil, with the position identified as remote in São Paulo.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Work arrangement
Yes