Ai Engineer

in Information Technology
  • New York, New York View on Map
  • Salary: $120,000.00 - $140,000.00
Permanent

Job Detail

  • Experience Level Entry Level
  • Degree Type Bachelor of Science (BS)
  • Employment Full Time
  • Working Type Hybrid
  • Job Reference 0000017044
  • Salary Type Annually
  • Selling Points

    Drive innovation in legal workflows by developing cutting-edge AI systems. Collaborate across teams to deploy impactful AI solutions in production environments. Enhance your expertise in RAG architectures and cloud technologies.

Job Description

Overview

  • Develop AI-driven applications to enhance legal knowledge structuring and workflow efficiency.
  • Collaborate with cross-functional teams to design and deploy production-ready AI solutions.
  • Focus on implementing and improving features within existing AI systems.
  • Contribute to experimentation, evaluation, and production deployment of AI tools.
  • Work closely with attorneys and partners to support impactful legal workflows.
  • Operate within a hybrid work environment, ensuring collaboration and productivity.
  • Engage in continuous learning to stay updated with AI advancements.

Key Responsibilities & Duties

  • Design and enhance retrieval-based AI systems and workflow-driven applications.
  • Develop and optimize AI agents for multi-step legal workflows.
  • Apply RAG design patterns to improve system accuracy and reliability.
  • Conduct structured experimentation to refine prompts and retrieval strategies.
  • Contribute to data ingestion, cleaning, and indexing processes for AI applications.
  • Support deployment and monitoring of AI tools in production environments.
  • Collaborate with infrastructure teams for secure and scalable deployments.

Job Requirements

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • Minimum 2 years of experience in software engineering or AI-related roles.
  • Proficiency in Python and software engineering fundamentals.
  • Experience with vector databases and similarity search technologies.
  • Understanding of RAG architectures and retrieval optimization.
  • Familiarity with cloud platforms and containerization technologies.
  • Strong analytical and problem-solving skills.
  • Preferred experience with Azure cloud services and enterprise environments.
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