Lead Software Engineer,CoCounsel Innovation& Custom Delivery

Ready to build the future of AI-powered legal technology from the ground up? Join Thomson Reuters as a Lead Software Engineer on our Innovation & Custom Delivery team, where you'll transform cutting-edge AI concepts into production-ready solutions for our most strategic clients.

As a Lead Software Engineer, you'll be a technical architect and hands-on builder for custom AI solutions that directly impact major legal clients, court systems, and corporations. This isn't about maintaining existing systems it's about taking ambitious ideas from concept to production, fast. You'll work at the intersection of software engineering excellence and generative AI innovation, creating solutions that set the standard for what's possible in legal technology.

About the Role

In this opportunity as Lead Software Engineer, you will:

• Design and implement production-grade applications from scratch, owning the full stack from database schema to API design to deployment infrastructure

• Architect and build RESTful APIs and async, event-driven systems using message queues, event streams, and serverless architectures that serve as the backbone for AI-powered applications

• Integrate generative AI models into production applications, including building and deploying agentic AI systems using frameworks like LangChain, LangGraph, or AutoGen

• Implement Infrastructure as Code using tools like Terraform, CloudFormation, or CDK, and establish robust CI/CD pipelines that enable rapid, reliable deployments

• Drive technical excellence by establishing coding standards, conducting thorough code reviews, and making critical decisions about technology stack and architecture patterns

• Mentor engineers on software design principles, cloud architecture, and AI integration patterns while partnering closely with product managers, AI researchers, and client stakeholders

• Design effective prompt strategies, evaluation frameworks, and observability solutions for LLM-based applications to ensure quality and performance

About You

You're a fit for the role of Lead Software Engineer if your background includes:

• 5+ years of software engineering experience building production applications from 0 to 1, with deep understanding of design patterns, SOLID principles, and clean architecture

• 3+ years of cloud and infrastructure experience with Infrastructure as Code (Terraform, CloudFormation, CDK, or Pulumi), container orchestration (ECS, Kubernetes), and CI/CD pipelines

• Expert-level proficiency in Python or TypeScript/Node.js (ideally both) with experience in modern backend frameworks (FastAPI, Express, NestJS) and React

• Strong proficiency in building RESTful APIs with solid understanding of auth and API best practices, plus experience designing asynchronous, event-driven architectures using message queues or event buses

• Solid database expertise spanning both SQL (PostgreSQL, MySQL) and NoSQL (DynamoDB, MongoDB, Redis) systems

• Practical experience integrating LLMs into production applications and hands-on work with agentic AI frameworks (LangChain, LangGraph, AutoGen, CrewAI, or similar)

• Understanding of prompt engineering techniques, RAG architectures, vector databases, and LLM evaluation methodologies

• Experience leading technical initiatives or mentoring engineering teams with excellent communication skills and ability to explain complex technical concepts to non-technical stakeholders

• Strong analytical and debugging skills with ability to quickly assess technical trade-offs and make pragmatic decisions that balance speed, quality, and maintainability

• Comfort with ambiguity and changing requirements in fast-paced environments, with a self-directed approach and strong sense of ownership and urgency

#LI-LB1

What’s in it For You?

• Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.

• Flexibility