AI Engineer – Controllership and Tax Reform

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Oversee the development and integration of AI elements like LLMs, agents, predictive models, and intelligent pipelines into applications and enterprise systems, particularly in financial, tax, and regulatory scenarios.

• Play a key role in shaping the technical architecture of solutions, considering factors such as scalability, resilience, security, governance, cost, and sustainability.

• Conduct technical reviews and critical evaluations of models, pipelines, integrations, and architectural choices.

• Convert strategic requirements from business sectors into impactful AI solutions.

• Assist in creating solutions for analysis, automation, simulations, and decision support related to Tax Reform.

• Maintain up-to-date technical documentation to ensure traceability, reusability, and clarity in decision-making.

• Guide and nurture less experienced professionals by sharing engineering best practices and promoting responsible AI usage.

• Develop presentations, technical documents, and alignment materials tailored for various audiences.

• Engage in prioritizing requests and managing project scope.

• Disseminate knowledge on AI frameworks, APIs, microservices, integration patterns, and intelligent applications.

• Facilitate technical discussions with DevOps, Engineering, Security, and Architecture teams.

• Assess emerging technologies and recommend evolutionary paths that align with the company’s strategy.

⛳️ Requirements

• Expertise in Python or Java, with hands-on experience using AI/ML libraries and frameworks.

• Background in NLP, computer vision, and generative AI, including LLMs, agents, RAG architectures, and protocols such as MCP.

• Strong command of software engineering best practices, covering modularization, testing, observability, versioning, code review, and delivery quality.

• Familiarity with CI/CD, Docker, and Kubernetes.

• Experience with cloud services for deploying, monitoring, and operating AI solutions in production environments.

• Capability to design integrations between models, APIs, microservices, and enterprise applications.

• Proven experience in documenting technical decisions, models, processes, and architectures.

• Proficiency in conveying technical results to business areas and non-technical stakeholders.

• Ability to convert business challenges into scalable and sustainable AI solutions.

• Technical leadership, standards establishment, and team mentorship.

• Strong collaboration with both business and technology sectors.

• Critical thinking and a systems-level perspective.

• Clear communication with technical and executive audiences.

• Ongoing interest in trends and the responsible use of AI.

• Differentiators include experience in financial, tax, accounting, or regulatory fields; Tax Reform or compliance expertise; MLOps/LLMOps; familiarity with data products; modern architectures; and strong data governance practices.

🏝️ Benefits

• 14th and 15th fixed salaries.

• Profit-Sharing based on seniority.

• Health and Dental plans with no co-pay.

• Wellbeing programs through Wellhub (formerly Gympass), including Nutrition, Psychology, Occupational Health, Massage, Running group, and local gym access.

• Meal and Food Vouchers with flexible allocation between cards (VA/VR) and no co-pay.

• Extended maternity and paternity leave.

• Childcare or nanny allowance for children up to 6 years and 11 months old.

• Support for children with disabilities, with no age limit.

• Life insurance coverage.

• Private pension plan contributing up to 8% of salary.

• Access to a training platform – Sicredi Aprende, offering a variety of courses.

• 40-hour workweek utilizing a time bank system.

• Remote work allowance, except for roles requiring 100% on-site presence.