AI Engineer – Controllership, Tax Reform

Role Overview

• Lead the development and integration of AI components such as LLMs, agents, predictive models and intelligent pipelines into corporate applications and systems focused on financial, tax and regulatory contexts.
• Actively participate in defining the technical architecture of solutions, considering aspects such as scalability, resilience, security, governance, cost and long-term sustainability.
• Perform technical reviews and critical validations of models, pipelines, integrations and architectural decisions, ensuring excellence in deliveries and adherence to engineering standards.
• Translate strategic needs from business areas into high-impact AI solutions, serving as a strong liaison between technical teams and corporate stakeholders.
• Support the construction of solutions that enable analysis, automation, simulations and decision support on topics related to Tax Reform, increasing the organization’s response capacity to regulatory changes.
• Keep technical documentation up to date, ensuring traceability, reuse, clarity of architectural decisions and continuity in the evolution of solutions.
• Mentor and develop less experienced professionals, disseminating engineering best practices, technical standards and responsible AI use in the corporate context.
• Prepare presentations, technical materials and alignment content for different audiences, including partner areas, leadership and strategic stakeholders.
• Participate in demand prioritization and scope management, contributing to decisions that balance business value, technical feasibility and delivery capacity.
• Share knowledge about AI frameworks, APIs, microservices, integration patterns and modern approaches to building intelligent applications.
• Lead technical discussions with DevOps, Engineering, Security and Architecture teams, promoting alignment and robustness in solution deployment.
• Evaluate emerging technologies, proposing evolutionary paths consistent with the company’s strategy, focused on value generation and technological maturity.

Requirements

• Proficiency in Python or Java, with experience using AI/ML libraries and frameworks.
• Experience with NLP, computer vision and generative AI, including LLMs, agents, RAG architectures and protocols such as MCP.
• Mastery of software engineering best practices, including modularization, testing, observability, versioning, code review and delivery quality.
• Experience with CI/CD, containers (Docker) and orchestration (Kubernetes).
• Experience with cloud services for deploying, monitoring and operating AI solutions in production.
• Ability to design integrations between models, APIs, microservices and enterprise applications.
• Experience documenting technical decisions, models, flows and architectures, ensuring traceability and governance.
• Ability to communicate technical results clearly to business areas and non-technical stakeholders.
• Capacity to translate business problems into scalable and sustainable AI solutions.
• Technical leadership, including defining standards and mentoring teams.
• Strong collaboration with business and technology areas.
• Critical thinking and systemic vision for reviewing and evolving solutions.
• Clear communication with technical and executive audiences.
• Ongoing interest in trends and responsible use of AI.

Tech Stack

• Docker
• Java
• Kubernetes
• Python

Benefits

• Fixed 14th and 15th salaries
• Profit-sharing / performance-based bonuses (based on seniority)
• Health and dental plans with no co-pay
• Wellness programs through Wellhub (formerly Gympass), including Nutrition, Psychology, Occupational Health, Massage, running group and local gym
• Meal and food vouchers with flexible allocation between VA/VR cards, no co-pay
• Extended maternity and paternity leave
• Childcare or nanny allowance for children up to 6 years and 11 months
• Allowance for children with disabilities, no age limit
• Life insurance
• Private pension plan up to 8% of salary
• Training platform – Sicredi Aprende, offering a variety of courses
• 40-hour workweek – using a time bank system
• Remote work allowance (except for positions that are 100% on-site).