Backend Engineer, AI Agentic Systems (Legal Tech)

Thomson Reuters

Ann Arbor (MI)

Híbrido

USD 82.000 - 152.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Hybrid Work Model
Career Development
Mental Health Days

Descripción de la vacante

Thomson Reuters in the United States is seeking a Software Engineer for the Litigation Drafting team. You will build AI agentic features, design backend services in Python with FastAPI and PostgreSQL, and integrate with LLM providers to power real-time legal workflows.

You'll join a fast-paced environment with ownership early in your career, collaborating across Product, Design and Labs to deliver secure, scalable solutions.

Formación

  • 1-3+ years of professional software development experience.
  • Back-end & cloud skills with Python and cloud services.
  • Strong debugging and production-ready delivery track record.
  • Ability to communicate across teams in fast-paced environments.
  • Evidence of fast self-learning and shipping.

Responsabilidades

  • Build and ship AI agentic features end to end from requirements to production.
  • Design and implement backend services in Python, FastAPI and PostgreSQL.
  • Productionize AI capabilities with LLM providers and orchestration.
  • Apply AI tooling to improve development and product features.
  • Diagnose issues, perform root-cause analysis and improve CI/CD pipelines.
  • Collaborate with Product, Design and Labs teams on design discussions.

Conocimientos

Python
REST APIs
Distributed systems
Cross-functional collaboration
Debugging

Educación

BA or BS in Computer Science or equivalent practical experience

Herramientas

AWS
Azure
GCP
PostgreSQL
NoSQL

Descripción del empleo

Thomson Reuters in the United States is seeking a Software Engineer for the Litigation Drafting team. You will build AI agentic features, design backend services in Python with FastAPI and PostgreSQL, and integrate with LLM providers to power real-time legal workflows.

You'll join a fast-paced environment with ownership early in your career, collaborating across Product, Design and Labs to deliver secure, scalable solutions.

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