Senior Software Engineer - AI, CoCounsel FDE

United States of America

Full Time

1 day ago

$118,000 - $220,000 USD

H1B Sponsor Likely

Key skills

AI-powered solutions designLegal workflows contract reviewLegal workflows litigation supportLegal workflows discovery automationLegal workflows regulatory analysisSystem designDistributed systemsClean architectureAI/ML application developmentLLM-powered applicationsPythonBackend engineeringRESTful APIsAsync servicesEvent-driven systemsOrchestration frameworks LangChainOrchestration frameworks LangGraphOrchestration frameworks PydanticAIOrchestration frameworks AutoGenRAG architecturesVector databasesCloud platforms AWSCloud platforms AzureCloud platforms GCPInfrastructure as CodeCI/CD practicesSecure API developmentObservability tooling DatadogObservability tooling GrafanaObservability tooling PrometheusAI evaluation tooling LangSmithAI evaluation tooling LangfuseAI evaluation tooling BraintrustAI evaluation tooling Weights & BiasesClient-facing collaborationAIMLLLMRAGLangChainAgenticAutoGenLangGraphAWSAzureGCPPrometheusGrafanaDatadogRESTfulCI/CDCommunicationCollaboration

About this role

Thomson Reuters is a global leader providing trusted content and technology solutions for professionals across legal, tax, accounting, and more. The Senior Software Engineer - AI role on the CoCounsel Forward Deployed Engineering team focuses on designing, building, and deploying AI solutions tailored to legal workflows, collaborating closely with AI architects and legal experts. The position involves developing scalable AI systems, implementing quality controls, and engaging with clients to translate legal needs into technical solutions.

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