Thomson Reuters

Lead Software Engineer, AI

Thomson Reuters

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $116,900 - $217,100 per year

Job Level

Senior

Tech Stack

AWSCloudDynamoDBPostgresPythonRedisSDLCSQLTerraform

About the role

  • Backend Development & AI Integration
  • Develop and maintain backend services using Python, FastAPI, and PostgreSQL.
  • Implement AI orchestration systems integrating LLMs from OpenAI, Anthropic, and other providers.
  • Design APIs and backend logic for real-time AI interactions.
  • Help to build our content services to automate many different AI driven workflows across the legal professional domain
  • Performance & Scalability
  • Ensure backend systems are secure, scalable, and optimized for AI-driven applications.
  • Monitor and enhance system performance, across millions of documents and AI driven interactions
  • Collaboration & Leadership
  • Work closely with AI researchers, engineers, and product teams to translate AI capabilities into real-world applications.
  • Foster a culture of experimentation and continuous improvement, exploring new AI technologies and methodologies.
  • Work closely with AI researchers, engineers, and product teams to translate AI capabilities into real-world applications.
  • Foster a culture of experimentation and continuous improvement, exploring new AI technologies and methodologies.

Requirements

  • 7+ years of hands-on software development experience in backend development, building scalable web services, and APIs.
  • 3+ years of hands-on Python development with experience in FastAPI (Other API Tools Acceptable) and PostgreSQL (Other SQL Tools Acceptable).
  • Expertise in AWS cloud services ( Redis, DynamoDB, S3, SQS, Kinesis, KMS, IAM, Secret Manager, etc) or similar cloud services.
  • Experience managing infrastructure with Terraform, CloudFormation, or similar IaC tooling.
  • Strong Data Engineering background and experience with Retrieval Systems leveraging tools like OpenSearch.
  • Experience implementing modern DevOps best practices in production environments (CI/CD using GitHub Actions and AWS services (Code Pipeline/Code Build))
  • Experience with LLMs, AI Solutions, and evaluation and understanding of agentic systems and workflow
  • Excellent interpersonal skills with the ability to influence across organizational boundaries
  • A pragmatic and curious mindset that drives you to find elegant solutions to complex problems
  • Strong communication skills that enable you to articulate technical concepts to diverse audience
  • Demonstrated ability to mentor others and contribute to engineering culture.
  • Experience in using AI-powered tools in SDLC is required.