AI / ML Developer

CourtNetra; United States; Remote; USD 13,000 - 21,000; Full time

Job summary

CourtNetra is seeking a technically strong ML/AI engineer to advance AI-powered legal research workflows. The role focuses on retrieval, document understanding, judgment summarisation, and citation checks, combining practical ML development with product iteration to deliver measurable improvements for users.

You will build and refine pipelines, evaluate outputs, and translate research tasks into concrete product outcomes while iterating on prompts to reduce unsupported results.

Qualifications

• Strong Python programming skills.
• Experience with LLM or machine learning pipelines.
• Familiarity with retrieval-augmented generation and vector search.
• Experience evaluating model or pipeline quality.
• Ability to define useful measures for product improvements and iterate against them.

Responsibilities

• Develop retrieval and document-understanding capabilities for legal research.
• Work on judgment summarisation and citation-checking workflows.
• Build and refine LLM or machine learning pipelines.
• Evaluate retrieval, vector search, and model outputs to guide improvements.
• Translate ambiguous research tasks into measurable product outcomes.
• Iterate on prompts and models, including efforts to reduce unsupported outputs.

Skills

Python

LLM pipelines

Retrieval augmented generation

Vector search

Model evaluation

Product metrics

Job description

Role overview

Improve AI-powered legal research workflows involving retrieval, document understanding, judgment summaries, and citation checks. The role combines practical machine learning or large language model development with product iteration, turning open-ended research problems into measurable improvements for users.

Responsibilities

• Develop retrieval and document-understanding capabilities for legal research.
• Work on judgment summarisation and citation-checking workflows.
• Build and refine LLM or machine learning pipelines.
• Evaluate retrieval, vector search, and model outputs to guide improvements.
• Translate ambiguous research tasks into measurable product outcomes.
• Iterate on prompts and models, including efforts to reduce unsupported outputs.

Requirements

• Strong Python skills.
• Practical experience with LLM or machine learning pipelines.
• Familiarity with retrieval-augmented generation and vector search.
• Experience evaluating model or pipeline quality.
• Ability to define useful measures for product improvements and iterate against them.

Nice to have

• Experience with Indic natural language processing.
• Exposure to legal-domain AI or techniques for mitigating hallucinations.

Benefits and work setup

• Full-time role based in Delhi NCR or remote within India.