This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Engenheiro de IA Generativa Pleno based in Brazil.
This is a hands-on opportunity for a mid-level AI and software professional to build intelligent applications, automations, integrations, and AI agents that support the evolution of internal audit capabilities. You will work at the intersection of software engineering, data, cloud technologies, and Generative AI to develop practical solutions with organization-wide impact. The role involves building APIs and microservices, developing agent tools and skills, creating conversational interfaces, and automating data-driven workflows. You will collaborate closely with senior AI engineers and architects while gaining exposure to modern AI development practices and cloud-native technologies. Your work will help reduce manual effort, improve continuous monitoring, and enable faster, more data-driven audit processes. This position is ideal for someone curious, proactive, collaborative, and excited to deepen their expertise in Generative AI.
Accountabilities:
- Develop RESTful APIs and Python-based microservices, preferably using FastAPI, to support AI agents and automation workflows while following clean-code principles and platform engineering standards.
- Develop, test, and maintain skills and tools for intelligent agents, integrating external APIs and systems such as application logs, Jira, and messaging platforms to expand automated audit capabilities.
- Build agile and intuitive frontend interfaces for chatbots and conversational feedback portals used by audit professionals, leveraging Streamlit.
- Develop Python and SQL scripts for data extraction, processing, consolidation, and transformation to support continuous audit indicators and agent memory.
- Create and maintain real-time monitoring dashboards using Grafana and develop automated workflows that reduce manual effort and improve operational efficiency.
- Support the execution and corrective maintenance of existing analytical tests, working efficiently with data sources to provide timely information for audit inspections.
- Collaborate with senior AI engineers and architects to develop, test, and evolve cloud-based AI solutions and contribute to technical decisions and implementation practices.
- Document automation workflows, data structures, business logic, integrations, and technical solutions to ensure maintainability and knowledge sharing.
Requirements
- Solid professional experience as a Software Developer, particularly in backend or full-stack development, or as a Data Analyst focused on automation.
- Strong practical knowledge of Python, including experience developing APIs, preferably with FastAPI, using data libraries such as Pandas, and applying software development best practices.
- Previous experience working with Generative AI projects, including technologies or concepts such as LangChain, Retrieval-Augmented Generation (RAG), or prompt engineering.
- Strong SQL skills for querying, joining, transforming, and processing information across relational and analytical databases.
- Experience building data interfaces, dashboards, or visual prototypes using Streamlit.
- Practical experience consuming, integrating, and securing REST APIs and other web services.
- Experience with real-time monitoring and observability tools such as Grafana.
- Experience using Git for source-code versioning and maintaining clear technical documentation.
- Strong teamwork and collaboration skills, with openness to learning new technologies and developing technical expertise under the guidance of senior professionals.
- Proactive mindset with the ability to identify manual process bottlenecks and propose practical automation solutions.
- Strong organization and attention to detail, particularly when documenting workflows, data structures, and automation logic.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
- Familiarity with Google Cloud Platform services such as GKE/Kubernetes, Cloud Run, or Cloud Functions is considered an advantage.
- Basic knowledge of document-oriented NoSQL databases such as Firestore is a plus.
- Familiarity with application instrumentation and observability technologies such as Prometheus and OpenTelemetry is desirable.
Benefits
- Opportunity to work directly with Generative AI, intelligent agents, automation, software engineering, and cloud technologies.
- Hands-on exposure to modern AI development practices, including RAG, LangChain, prompt engineering, API development, and conversational applications.
- Collaboration with senior AI engineers and architects, providing opportunities for technical development and knowledge sharing.
- Opportunity to build solutions that reduce manual work and improve continuous monitoring and data-driven decision-making.
- Exposure to cloud-native technologies and modern observability practices.
- Collaborative, technology-focused environment that encourages curiosity, innovation, and continuous learning.
- Inclusive workplace that values diversity and encourages professionals from different backgrounds to contribute and grow.
- Additional salary, healthcare, leave, flexibility, and employee benefits may be provided according to the partner company’s applicable policies.
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!
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
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.
Your email job alert is now active!
