Thomson ReutersRemote
Senior Software Engineer - AI, CoCounsel FDE
United States of America
Full Time
3 weeks ago
$118,000 - $220,000 USD
H1B Sponsor Likely
Key skills
AI-powered solutionsLegal workflowsContract reviewLitigation supportDiscovery automationRegulatory analysisSystem designDistributed systemsClean architectureAI/ML applicationsLLM-powered applicationsPythonBackend engineeringRESTful APIsAsync servicesEvent-driven systemsLangChainLangGraphPydanticAIAutoGenRAG architecturesVector databasesAWSAzureGCPInfrastructure as CodeCI/CDSecure API developmentDatadogGrafanaPrometheusLangSmithLangfuseBraintrustWeights & BiasesAIMLLLMRAGAgenticRESTfulCommunicationCollaboration
About this role
Thomson Reuters is hiring a Senior Software Engineer - AI on their CoCounsel Forward Deployed Engineering team. In this role, you will design, build, and deploy AI solutions tailored for legal workflows, collaborating with various stakeholders to deliver high-impact systems.
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