Description
Thomson Reuters is hiring a Senior Software Engineer - AI on our CoCounsel Forward Deployed Engineering team. In this role, you will help design, build, and deploy bespoke AI solutions for law firms and corporate legal departments, turning architectural direction into robust, production-ready systems that legal professionals can trust.
You will work closely with AI architects, legal AI experts, and cross-functional partners to deliver high-impact solutions that shape how legal work gets done.
Responsibilities
- Design and implement AI-powered solutions tailored to legal workflows such as contract review, litigation support, discovery automation, and regulatory analysis.
- Build scalable, secure, and maintainable AI systems within architectural frameworks defined by the AI Solutions Architect, including RAG pipelines, custom agents, and enterprise integrations.
- Develop and configure multi-step agentic workflows using CoCounsel, Westlaw, Practical Law, third-party AI APIs, and enterprise systems.
- Implement observability, evaluation, and quality controls for production AI systems, including monitoring, tracing, benchmarking, and red-teaming protocols.
- Participate in technical discovery with clients and legal stakeholders, translating legal workflows and business goals into clear engineering plans and prototypes.
- Partner closely with AI architects, legal AI engineers, and peers to deliver high-quality solutions, contribute reusable assets, and improve engineering practices across the team.
- Evaluate and prototype emerging AI techniques, interoperability standards, and prompt engineering approaches to improve solution quality and delivery speed.
Requirements
- 5+ years of software engineering experience with a strong foundation in system design, distributed systems, and clean architecture.
- At least 2 years of hands-on experience building and deploying AI/ML or LLM-powered applications in production.
- Strong proficiency in Python and backend engineering, with experience building RESTful APIs, async services, and event-driven systems.
- Experience with orchestration frameworks such as LangChain, LangGraph, PydanticAI, or AutoGen, along with solid understanding of RAG architectures and vector databases.
- Experience with cloud platforms such as AWS, Azure, or GCP, plus familiarity with Infrastructure as Code, CI/CD practices, and secure API development.
- Experience with observability and AI evaluation tooling such as Datadog, Grafana, Prometheus, LangSmith, Langfuse, Braintrust, or Weights & Biases.
- Strong communication skills and comfort working independently in ambiguous, client-facing environments, including collaboration with legal professionals and non-technical stakeholders.
Benefits
- Hybrid Work Model: flexible hybrid working environment
- Flexibility & Work-Life Balance: supportive workplace policies
- Career Development and Growth: continuous learning and skill development
- Industry Competitive Benefits: comprehensive benefit plans
- Culture: award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more
- Social Impact: opportunities to make an impact in the community
- Making a Real-World Impact: helping customers pursue justice, truth, and transparency