Job Description: Document AI Engineer

Position Overview

• Location Type: Hybrid
• Employment Type: Full-Time
• Salary: (Salary not provided in the description)

EvenUp is a rapidly growing generative AI startup focused on empowering personal injury victims through innovative legal solutions. We build products that help law firms secure faster settlements and better outcomes. This role offers an opportunity to contribute to building scalable, innovative Document AI solutions within a dynamic and impactful environment.

Responsibilities

• Pioneer cutting-edge Document AI systems at the forefront of generative AI innovation.
• Build next-generation models for human-level understanding of complex legal and medical documents.
• Intelligently extract key entities and relationships from documents.
• Perform sophisticated multi-document reasoning.
• Generate contextually-aware documents to transform business workflows.
• Implement and advance technologies in:
  • Information Extraction (using traditional ML, LLMs, and multi-modal LLMs)
  • Information Retrieval (query understanding, semantic search, hybrid retrieval)
  • Data Management (schema design, knowledge graphs, distributed data pipelines)
  • RAG (Retrieval-Augmented Generation) with advanced techniques
  • Prompt Engineering (few-shot learning, instruction tuning)
  • LLM fine-tuning (LoRA/QLoRA, instruction fine-tuning)
• Collaborate with domain experts, product managers, and engineers.
• Create tools that empower internal teams and clients.
• Mentor junior team members.

Requirements

• A strong foundation in machine learning, information retrieval, or data management.
• Particular interest in LLMs and generative AI.
• (No specific experience requirements listed, but a breadth of skills is recognized.)

Application Instructions

• (Application instructions not provided in the description)

Company Information

• Company: EvenUp
• Industry: Generative AI, Legal Tech
• Mission: To level the playing field for personal injury victims.
• Work Environment: Hybrid (expecting at least 3 days a week in an office hub).