Staff Software Engineer | AI-First

Job Description

• This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Software Engineer | AI-First based in Brazil. This is a unique opportunity for a senior technical leader to shape the future of AI-driven products and engineering practices. You will act as a key reference in artificial intelligence, combining deep technical expertise with strong product vision. The role involves designing scalable AI solutions, from experimentation to production deployment. You will influence architecture decisions, establish AI engineering standards, and drive innovation across teams. Working closely with product, engineering, and business stakeholders, you will help transform complex challenges into impactful solutions. This position is ideal for someone passionate about generative AI, machine learning, and building technologies that create meaningful user experiences
• Accountabilities: In this role, you will be responsible for leading AI engineering initiatives, defining technical strategies, and enabling teams to build reliable and scalable intelligent systems. You will contribute to product evolution by combining hands-on technical execution with architectural leadership and cross-functional influence. Contribute to the AI product vision and roadmap by providing technical guidance and identifying opportunities for innovation. Architect and lead the development of AI systems in production, from proof of concept through scalable deployment. Evaluate technical approaches, including build vs. buy vs. fine-tune decisions for AI models and solutions. Integrate large language models (LLMs), foundation models, and generative AI capabilities into products. Define engineering standards, best practices, and AI development processes across teams. Collaborate with product managers, designers, and software engineers to embed AI capabilities into user-facing solutions. Mentor engineers by sharing knowledge, improving technical skills, and promoting AI engineering excellence. Research and evaluate emerging technologies, including LLMs, multimodal models, and advanced AI approaches. Lead initiatives related to AI governance, model evaluation, quality monitoring, bias reduction, and responsible AI practices. Participate in technical hiring processes and contribute to building high-performing engineering teams. Requirements: The ideal candidate is a highly experienced AI-focused software engineer with strong architecture skills, proven experience delivering machine learning solutions in production, and the ability to influence technical decisions across teams. Extensive experience building and deploying AI/ML solutions in production environments. Strong expertise in generative AI, including fine-tuning, Retrieval-Augmented Generation (RAG), LLM evaluation, and advanced prompt engineering. Experience integrating foundation models and designing AI pipelines. Advanced Python programming skills focused on production systems, not only experimentation. Strong knowledge of machine learning fundamentals, including deep learning, statistics, optimization, and model evaluation. Experience with deep learning frameworks such as PyTorch and/or TensorFlow. Experience building recommendation systems, ranking models, or similar intelligent solutions is a plus. Knowledge of cloud environments such as AWS or GCP for AI/ML workloads. Experience with ML production pipelines and tools such as MLflow, Kubeflow, or Airflow. Experience with model serving, Docker, Kubernetes, and production monitoring/observability. Strong ability to define architecture, evaluate trade-offs, and make high-impact technical decisions. Excellent communication skills, with the ability to influence technical and non-technical stakeholders. Experience mentoring engineers and supporting technical growth within teams. Nice-to-have qualifications: Experience applying AI to matching, recommendation, or personalization systems. Background in HRTech, SaaS B2B products, or similar technology environments. Contributions to open-source AI projects. Publications, talks, or participation in relevant AI conferences and communities. Benefits: Fully remote work model. Flexible working hours. Meal allowance through Caju benefits card. Fully covered health insurance for employees, with co-participation for eligible dependents. Dental insurance. Life insurance. Home office allowance. Mental health support through wellness platforms. Physical wellness support through fitness partnerships. Extended parental leave programs, including adoption and diverse family arrangements. Marriage leave. Birthday day off. Internal recognition program with rewards and benefits credits. Payroll-deducted loan options and financial education support. Access to employee marketplaces and travel benefit programs. Coworking options through flexible workspace partnerships. Opportunity to become an equity partner in the company. Structured career development with technical and leadership growth paths. Continuous learning opportunities and internal development programs.
• 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. #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.
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