Engenheiro de IA Sênior

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Engineer based in Brazil.

We are seeking an experienced Senior AI Engineer to design, develop, and implement innovative Artificial Intelligence and Generative AI solutions focused on legal process automation. In this role, you will leverage advanced technologies, including Large Language Models (LLMs), Machine Learning, Natural Language Processing, and Retrieval-Augmented Generation (RAG), to transform how legal information is processed and managed. You will build intelligent applications for document analysis, automated due diligence, risk assessment, and litigation management. Working closely with Legal, Compliance, Governance, and Technology teams, you will translate complex business needs into scalable AI solutions. You will also ensure that developed systems meet high standards of security, accuracy, privacy, and regulatory compliance. This is an opportunity to contribute to impactful digital transformation initiatives while working with cutting-edge AI technologies.

Design, develop, and deploy Artificial Intelligence and Generative AI solutions to automate legal processes and workflows. Architect and implement Large Language Model (LLM) applications for analyzing, interpreting, and generating legal documents. Build intelligent solutions for extracting, classifying, and consolidating information from contracts, legal filings, opinions, and other legal documents. Develop automated Due Diligence applications to assess risks, evaluate compliance, and identify inconsistencies across legal documentation. Create AI-powered tools to support litigation management, case analysis, and monitoring of legal obligations. Design and implement Retrieval-Augmented Generation (RAG) architectures to enable intelligent searches and queries across legal document repositories. Collaborate with Legal, Compliance, Governance, and Technology teams to identify opportunities for process automation and technological innovation. Ensure the security, traceability, privacy, and regulatory compliance of AI solutions, following internal policies and applicable requirements. Monitor and continuously optimize the performance, accuracy, reliability, and evolution of AI models in production environments.

Requirements:

Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, Computational Mathematics, Statistics, Electrical Engineering with a focus on Computing, or a related field. Strong professional experience with Python and the development of Artificial Intelligence solutions. Advanced knowledge of Machine Learning, Deep Learning, and Natural Language Processing (NLP). Hands-on experience with Large Language Models (LLMs), such as GPT, Claude, Llama, Mistral, Gemini, or equivalent technologies. Practical experience with AI development frameworks and orchestration tools, including LangChain, LangGraph, LlamaIndex, and Semantic Kernel. Strong knowledge of RAG architectures, vectorization techniques, and semantic search. Experience with vector databases and search technologies such as Pinecone, Weaviate, ChromaDB, and Azure AI Search. Familiarity with cloud computing platforms, particularly Microsoft Azure, AWS, and Google Cloud Platform (GCP). Knowledge of MLOps practices, AI model monitoring, deployment, and governance. Strong analytical thinking, problem-solving abilities, and the capacity to translate complex business requirements into effective technical solutions. Excellent collaboration and communication skills, with the ability to work across multidisciplinary teams.

Nice to have:

Previous experience developing AI solutions for legal departments, compliance, auditing, or risk management. Knowledge of automated contract analysis and legal document review processes. Experience working in banking, financial services, insurance, or large enterprises handling high volumes of contracts and business processes. Relevant certifications, such as Microsoft Azure AI Engineer Associate, AWS Machine Learning Specialty, or equivalent qualifications. Postgraduate studies or specialization in Artificial Intelligence, Machine Learning, Data Science, Big Data Analytics, AI Engineering, or Cloud Solutions Architecture (Azure, AWS, or GCP).

Benefits:

Food and meal allowance: Flash benefits card with R$ 32.00 per working day, accepted at various establishments and offering flexibility in how you use your allowance. Remote work support: Monthly home office allowance of R$ 100.00. Flexible working hours: Flexibility to organize your working schedule. Healthcare: SulAmérica health insurance and Bradesco dental insurance, with the option to include dependents. Wellness programs: Access to WellHub, TotalPass, and UniCamente for physical activities and healthcare services. Travel discounts: Access to Onhappy, offering exclusive discounts on accommodation, flights, and travel experiences. Pet healthcare: Guapeco pet health insurance, including veterinary consultations, examinations, and other services. Discounts and rewards: Access to a benefits club with discounts across various products and services. Extended parental leave: Enhanced maternity and paternity leave. Life insurance: Coverage designed to provide additional financial security. SESC partnership: Access to leisure, cultural, tourism, educational, and wellness activities for employees and their families. Profit-sharing: PLR program according to the applicable union agreement. Birthday day off: An additional day off to celebrate your birthday. Casual dress code: No formal dress requirements. Continuous learning: Training and professional development incentives to support ongoing education and career growth. Employee referral program: Opportunities to recommend talented professionals.

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!

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