Senior AI Engineer for Tax & Audit Platforms

Thomson Reuters

Eagan (MN)

Hybrid

USD 118.000 - 220.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Thomson Reuters is seeking a Senior Software Engineer to build and deploy production AI solutions for tax and audit professionals. You will blend Python, backend engineering, LLMs, and client-facing delivery to translate business needs into secure, scalable applications.

You’ll lead simpler builds, collaborate with senior engineers on complex solutions, and ensure reliable operations across client engagements.

Qualifikationen

  • 5+ years in software engineering with system design and distributed architectures.
  • At least 2 years building AI/ML or LLM-powered apps in production.
  • Strong Python backend, REST APIs, asynchronous and event-driven systems.
  • Hands-on experience with RAG, vector databases, and AI orchestration tools.
  • Experience deploying secure apps on cloud platforms with CI/CD and observability tooling.
  • Ability to lead client discussions and deliver across competing priorities with stakeholders.

Aufgaben

  • Own client delivery on simpler builds and standard integrations with clear technical scope.
  • Build production AI apps including RAG pipelines, agents, and multi-step workflows.
  • Develop scalable backend services and connect solutions to Thomson Reuters products.
  • Establish AI evaluation, observability, benchmarking, and adversarial testing.
  • Collaborate with Tax & Audit AI Engineers to translate rules into engineering plans.
  • Coordinate delivery across multiple engagements and support post-launch stabilization.

Kenntnisse

Python
Backend engineering
Distributed systems
RAG architectures
LangChain frameworks
Cloud deployment
CI/CD
REST APIs
Event-driven
Observability tooling

Tools

LangChain
LangGraph
PydanticAI
AutoGen
Datadog
Grafana
Prometheus

Jobbeschreibung

Thomson Reuters is seeking a Senior Software Engineer to build and deploy production AI solutions for tax and audit professionals. You will blend Python, backend engineering, LLMs, and client-facing delivery to translate business needs into secure, scalable applications.

You’ll lead simpler builds, collaborate with senior engineers on complex solutions, and ensure reliable operations across client engagements.

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