AI Software Engineer for Legal Tech Solutions

Thomson Reuters

New York (NY)

Hybrid

USD 95,000 - 176,000

Full time

14 days+

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Benefits offered by this job

Hybrid Work Model
Two Mental Health Days off
Tuition Reimbursement
Employee Stock Purchase Plan

Job summary

Thomson Reuters is seeking a Software Engineer - AI for the CoCounsel Forward Deployed Engineering team. You will design, build, and deploy AI-powered solutions for legal customers, translating workflows into reliable technical implementations and evaluating AI outputs for accuracy and relevance.

Ideal candidates have 2-4 years of software engineering experience, Python proficiency, and familiarity with AI tooling and cloud APIs.

Qualifications

  • 2-4 years software engineering experience.
  • Hands-on Python and familiarity with AI/ML tooling and APIs.
  • Understanding of core ML/LLM concepts, prompt design, evaluation.

Responsibilities

  • Partner with AI Solution Engineers, Architects, and seniors to design, build, and deploy AI-powered solutions for legal customers.
  • Translate legal workflows and business needs into reliable technical solutions using foundation models and enterprise platforms.
  • Contribute to technical discovery, solution delivery, prototyping, integrations, and evaluation of AI outputs for legal use cases.
  • Ensure deployed systems are practical, accurate, secure, and aligned with legal environments.

Skills

Python
AI/ML tooling
LLM concepts
API integration
Cross-functional collaboration

Tools

OpenAI API
Anthropic API
AWS/Azure/GCP
Docker/Kubernetes
Retrieval systems

Job description

Thomson Reuters is seeking a Software Engineer - AI for the CoCounsel Forward Deployed Engineering team. You will design, build, and deploy AI-powered solutions for legal customers, translating workflows into reliable technical implementations and evaluating AI outputs for accuracy and relevance.

Ideal candidates have 2-4 years of software engineering experience, Python proficiency, and familiarity with AI tooling and cloud APIs.

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