AI Engineer Specialist

New
J
JobgetherLegal technology
Based in BrazilFull-Time
Salary not disclosed
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Job Details

Required Skills
PythonMachine LearningDeep LearningNLPLLMMLOpsGenerative AILangChain

Requirements

  • Hold a 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.
  • Have advanced Python programming skills and experience developing and deploying production-ready AI solutions.
  • Have strong knowledge of Machine Learning and Deep Learning techniques and their practical applications.
  • Have advanced understanding of Natural Language Processing (NLP) and Generative AI technologies.
  • Have hands-on experience designing, developing, and integrating LLMs, such as GPT, Claude, Gemini, Llama, or Mistral.
  • Have practical experience with LLM orchestration frameworks such as LangChain or LangGraph.
  • Have expertise in RAG architectures, including document retrieval, context optimization, and semantic search.
  • Have experience with prompt engineering techniques for optimizing LLM performance and output quality.
  • Know MLOps practices, including model deployment, monitoring, governance, and lifecycle management.
  • Have experience developing and integrating APIs and microservices for scalable AI applications.
  • Be familiar with vector databases and semantic search platforms such as Pinecone, Weaviate, ChromaDB, or Azure AI Search.
  • Have experience with enterprise AI platforms such as Azure OpenAI, AWS Bedrock, or Google Vertex AI.
  • Preferred: experience with contractual data extraction, contract analysis, legal document review, due diligence, litigation management, or legal workflow automation.
  • Preferred: familiarity with compliance frameworks, risk management, regulatory requirements, LGPD, and data governance.
  • Preferred certifications include Microsoft AI-102, DP-100, or AZ-305; AWS Certified Machine Learning – Specialty or Solutions Architect – Professional; or Google Professional Machine Learning Engineer.

Responsibilities

  • Design and implement Artificial Intelligence and Generative AI solutions to automate legal processes.
  • Architect and deploy LLM applications for analyzing, interpreting, summarizing, and generating legal documents.
  • Build data extraction, classification, and consolidation solutions for contracts and other legal documentation.
  • Develop automated due diligence applications to assess risks, evaluate compliance, and identify document inconsistencies.
  • Create AI-powered solutions for litigation management, case analysis, procedural monitoring, and tracking legal obligations.
  • Develop and optimize RAG architectures for context-aware queries across legal document repositories.
  • Apply prompt engineering and LLM orchestration frameworks to improve AI-generated outputs.
  • Integrate AI solutions with enterprise applications through APIs and microservices.
  • Collaborate with Legal, Compliance, Governance, and Technology teams to translate business needs into AI solutions.
  • Implement MLOps practices and monitor and optimize AI applications in production.
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