Senior AI Engineer

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

📋 Description

• Design, develop, and enhance Artificial Intelligence solutions aimed at improving efficiency and reducing risks within legal processes.

• Create LLM-based assistants and multi-agent systems for the analysis, interpretation, and extraction of data from banking contracts.

• Construct and refine semantic and vector search engines to facilitate the retrieval of legal case documents and case law.

• Implement LLMOps pipelines, encompassing automated testing, version control, deployment, monitoring, and ongoing evaluation of solutions in production.

• Develop systems for document auditing and due diligence, utilizing PDF processing and OCR technology to detect anomalies and validate signatures.

• Automate high-volume litigation workflows, which include case triage, claim classification, and generation of insights.

• Collaborate with Data Engineering, Data Science, and Systems teams to translate requests from Product Owners and Delivery Managers into technical solutions.

• Lead decisions regarding AI architecture, ensuring application availability and performance while advocating for best practices in software development.

• Operate within the financial services sector, concentrating on AI solutions tailored for legal departments.

⛳️ Requirements

• Proficient in advanced Python development, emphasizing production-grade code, software engineering best practices, and automated testing.

• Experience in developing high-performance APIs utilizing FastAPI.

• Familiarity with Generative AI, large language models (LLMs), and the creation and orchestration of autonomous agents using LangChain.

• Background in Machine Learning Engineering and LLMOps, including the deployment of pipelines, version control, monitoring, and maintaining solutions in production.

• Knowledge in modeling and utilizing vector databases.

• Understanding of Google Cloud Platform (GCP).

• Ability to define AI solution architectures with a focus on resilience, scalability, and system integration.

• Capable of translating business requirements into technical specifications.

• Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, Economics, or a related field with a strong quantitative and analytical basis.

• Approximately 6 years of experience in roles such as Data Scientist, Data Analyst, or similar positions.

• Preferred qualifications include knowledge of Snowflake; experience with OCR, structured data extraction, and processing of PDFs and images; familiarity with the financial services sector and legal projects; experience in large organizations and handling high-volume data processing; and knowledge of strategic and project management, along with a postgraduate degree or certifications in IT, Data Science, Machine Learning, or Business Intelligence.

🏝️ Benefits

• Health insurance and dental coverage.

• Meal and food allowance provided via a Flash card.

• Home office allowance.

• Gympass / Wellhub membership.

• Life insurance coverage.

• Extended maternity and paternity leave.

• Various partnerships and discounts available in education, healthcare, and leisure.

• A culture of continuous feedback, featuring semiannual evaluations, 1:1 meetings, an Individual Development Plan (IDP), and BHS Experience.