* Salário: R$ 2.000 a R$ 5.000 por mês (estimado)

* O valor exibido é uma estimativa calculada com base em dados públicos e referências do mercado. Não garantimos que este seja o salário oferecido para esta vaga específica.

Área: Outros

Nível: Senior

About Confidencial (Apenas para Cadastrados) AI

Confidencial (Apenas para Cadastrados) AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global, AI-native consultancy with deep expertise across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing - guiding organizations from strategy through build to measurable business outcomes. With 600+ AI experts, 50+ enterprise clients, and five global locations, we work side-by-side with the world's leading AI partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed, clarity, and lasting impact.

As a global company, we offer career opportunities across Europe and the Americas and are looking for talent eager to grow globally with our team. Please indicate in your application if you are available to work abroad and if you hold a European passport.

About the Opportunity

Confidencial (Apenas para Cadastrados) AI is seeking a Senior AI Engineer to lead the development and implementation of complex, large-scale AI solutions, defining the technical direction, and mentoring other engineers. You will be responsible for the architecture, design, and optimization of AI systems, ensuring high performance, scalability, and reliability.

Key Responsibilities

Lead the design, development, and implementation of cutting-edge AI solutions utilizing LLMs, prompt engineering, RAG, agent development, and fine-tuning.
Define the architecture and design of scalable, robust, and efficient AI systems.
Optimize AI and data pipelines for maximum performance and cost-effectiveness.
Lead the integration of AI solutions with complex and mission-critical systems.
Establish and maintain best practices for AI/ML development, testing, and deployment (MLOps and/or LLMOps).
Mentor and guide junior and mid-level AI engineers.
Conduct research and evaluate new technologies and approaches in AI.
Contribute to the definition of the company's AI strategy.
Resolve complex and critical problems related to AI systems.

Preferred Qualifications & Experience

Software Engineering: Strong proficiency in Python, coupled with a deep understanding of algorithms, data structures, software architecture, and distributed systems design.
Generative AI & Agents: Proven track record of building and optimizing GenAI solutions using prompt engineering, RAG, agent frameworks, and fine-tuning techniques.
Data & Integration Pipelines: Solid experience developing APIs and scalable ETL processes within cloud data environments (AWS, GCP, Azure, Snowflake, or Databricks).
Cloud Architecture: Solid track record of architecting high-availability, fault-tolerant solutions.
MLOps & DevOps: Experience establishing CI/CD practices and automating the deployment pipeline for AI/ML models.
Advanced English

Nice to haves

Deep knowledge of Financial Services and Banking domain.
Experience in technical leadership and AI project management.
Relevant certifications in AI or cloud.
Experience with data security and privacy in AI systems.
Recognition in the AI community (publications, presentations, etc.).
Experience with deployment of models from partners like Anthropic.

Why Confidencial (Apenas para Cadastrados) AI

Work on AI projects that actually transform the world's largest enterprises
Use cutting-edge AI tools and technologies every single day
Collaborate with global teams on high-impact, real-world solutions
Be backed by a supportive team that's genuinely in your corner
Benefit from serious investment in your learning and career growth
Earn competitive compensation and benefits
Enjoy company events and gatherings that bring the global team together
Join a fast-growing company where ambitious careers thrive

Selection Process Stages

Interview with Talent Acquisition
Technical Challenge
Interview with Technical Management
Evidence Storage

As part of our commitment to Information Security and in compliance with the requirements of the ISO 27001 standard (item 7.2, clause d), we would like to inform you that in future stages of the selection process, you will be required to provide proof of the skills and qualifications mentioned in your resume (such as diplomas and certificates). This verification is mandatory and essential to ensure compliance with our governance standards prior to hiring.

Some of the benefits offered by Confidencial (Apenas para Cadastrados):

Our Culture

Modern, transparent, and inclusive management.
Dynamic environment, open to innovation and creativity.
Data-driven culture.
Autonomy and engagement.
Light and relaxed atmosphere with a focus on challenges.
High-growth environment (Fast-paced scaling).
Remote work and flexible hours.

For Your Professional Development

Structured career path.
Feedback and growth culture (45/90-day onboarding reviews and semi-annual performance cycles).
Mentorship Program for dedicated support during onboarding.
Experienced and collaborative team.
High-impact projects.
Agile methodologies and cross-functional teams.
Free weekly English conversation classes.
Certification Program (full financial support and performance rewards).
Tutoring opportunities at Confidencial (Apenas para Cadastrados) Academy.
Internal initiatives such as "Tech Tracks" and "Databloggers."

For Your Health and Wellbeing

Global offices in Florianópolis, São Paulo, New York, Lisbon, and London.
In-office snacks and beverages.
Points and rewards program.
Psychological support via "Programa Oxigênio" and Zenklub.
Birthday day off.
Weekly happy hours and game nights (both remote and in-person).
Wellhub (formerly Gympass).
Bradesco Health Insurance.
Flash Card (flexible benefits - total R$ 1,350.00).
Annual bonus (performance-based).
Referral Program (R$ 250 per successful hire).
Extended maternity leave (6 months).