Lead Software Engineer, AI-Powered Search Platform

Thomson Reuters; Eagan (MN); On-site; USD 140,000 - 190,000; Full time

Job summary

Thomson Reuters in Eagan, MN seeks a Senior Software Engineer for the AI Enabled Software Engineering team to build the core of our search platform—ingestion pipelines, APIs, and scalable cloud infrastructure. You will own end-to-end delivery, mentor teammates, and help migrate from OpenSearch to Vespa.

You will design reliable, high-performance systems, work with embedding models and retrieval strategies, and contribute to platform improvements used by many products and AI agents.

Qualifications

• 5+ years building and operating production backend or data infra with end-to-end ownership.
• Strong programming skills in Python, Java, or Go and good tool judgment.
• Solid distributed systems knowledge with queues, streaming, and data stores.
• Hands-on experience with AWS and infrastructure as code.
• On-call, incident response, and observability ownership.

Responsibilities

• Design, build, test, deploy, and operate platform services across ingestion, indexing, and APIs.
• Build self-service platform APIs for configuring search systems and monitoring health.
• Collaborate on moving from OpenSearch to Vespa with zero-downtime promotions.
• Instrument components with logging, metrics, tracing, and SLOs.
• Mentor junior engineers and drive end-to-end feature delivery.

Skills

Distributed systems fundamentals

Cloud platforms (AWS)

On-call / incident response

AI-assisted development tools

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Python

Java

Go

AWS

Terraform

Job description

Thomson Reuters in Eagan, MN seeks a Senior Software Engineer for the AI Enabled Software Engineering team to build the core of our search platform—ingestion pipelines, APIs, and scalable cloud infrastructure. You will own end-to-end delivery, mentor teammates, and help migrate from OpenSearch to Vespa.

You will design reliable, high-performance systems, work with embedding models and retrieval strategies, and contribute to platform improvements used by many products and AI agents.