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Backend & Applied ML Engineer

Thomson Reuters

 

Carrollton, TX, USA

Posted On: 6 days ago
Experience: 5+ years
Availability: Onsite
Openings: 1
Category: Applied ML Engineer
Tenure: No Preference/Any
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Description

Build and orchestrate systems managing user interactions with Large Language Models and critical services in high-volume production environments.

Responsibilities

  • Orchestrate LLM-driven experiences and develop novel LLM client code.
  • Write Python API server code to handle requests from multiple front-end clients.
  • Develop intuitive prompting frameworks to empower prompt engineers and subject matter experts.
  • Write SQL queries and contribute to database schema design.
  • Participate in high-level architecture discussions within the Applied ML team.

Required Skills

  • 5+ years of production-level software engineering experience.
  • Proficiency in Python.
  • Experience with HTTP and API development.
  • Strong SQL skills and experience with database schema design.
  • Experience using LLMs through code (e.g., OpenAI, Anthropic, Cohere, Llama, or Mistral).
  • Experience with ML development lifecycle stages: data curation, cleaning, model training, evaluation, serving, or prompting.
  • Strong software engineering judgment and analytical problem-solving skills.

Preferred Skills

  • Previous experience working on an engineering or product team within a startup environment.

Education

Any Graduate

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