Senior Software Engineer – AI, CoCounsel FDE

Thomson Reuters

. Design and implement AI-powered solutions for law firm and corporate legal workflows, including contract review, litigation support, discovery automation, and regulatory analysis .

Posted 11/5/2026full-timeUnited StatesSenior💰 $118,400 - $219,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI-powered solutions for legal workflows, with a strong focus on building scalable AI systems and integrating them with enterprise platforms. Proficient in MLOps practices and capable of translating legal requirements into technical implementations.

Highest-signal resume keywords

AI/ML Solution DevelopmentPython ProgrammingSystem Design and ArchitectureRAG Architecture and Vector DatabasesMLOps and LLMOps Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI-Powered SolutionsContract Review AutomationLitigation SupportDiscovery AutomationRegulatory AnalysisRESTful API DevelopmentEvent-Driven ArchitecturePrompt EngineeringSecure API DevelopmentModel Context Protocol (MCP)

Soft Skills

Excellent Communication SkillsAbility to Work IndependentlyNavigating Ambiguity

Tools & Technologies

LangChainLangGraphPydanticAIFastAPIAWSAzureGCPTerraformDatadogGrafana

Industry Keywords

Legal TechnologyComplianceData PrivacyLegal WorkflowsDocument Management Systems

Tech Stack

Tools & technologies

AWSAzureDistributed SystemsDockerGoogle Cloud PlatformGrafanaKubernetesPrometheusPythonTerraform

About the role

Key responsibilities & impact

Design and implement AI-powered solutions for law firm and corporate legal workflows, including contract review, litigation support, discovery automation, and regulatory analysis
Build scalable, secure, and maintainable AI systems within architectural frameworks
Architect RAG pipelines, custom AI agents, and multi-component systems integrating with document management systems and enterprise platforms
Build and configure multi-step agentic workflows using CoCounsel, Westlaw, Practical Law, third-party AI APIs, and enterprise integrations
Implement A2A workflows and MCP integrations
Design and deploy bespoke automation pipelines and integration scripts
Implement MLOps and LLMOps practices for production deployment
Implement monitoring, logging, and tracing for LLM performance, latency, token usage, and system health
Use AI evaluation platforms to assess model outputs, metrics, and quality regressions
Contribute to LLM evaluation for accuracy, citation quality, hallucination risk, and legal-use fitness
Develop evaluation benchmarks, test suites, and red-teaming protocols
Ensure compliance with ethical AI principles, data protection standards, and enterprise security requirements
Participate in technical discovery, use-case scoping, solution design, and prototyping with clients
Translate legal workflows and client goals into engineering tasks and implementation plans
Conduct technical demonstrations and early-stage prototypes
Work directly with legal SMEs to translate domain knowledge into AI pipeline design, evaluation criteria, and benchmarks
Collaborate with Senior Legal AI Engineers, the AI Solutions Architect, and AI engineers
Contribute to knowledge-sharing, documentation, and reusable solution templates
Evaluate emerging AI techniques, agentic frameworks, MCP integrations, and prompt-engineering approaches
Stay current with AI research and the legal AI landscape

Requirements

What you’ll need

5+ years of software engineering experience
At least 2 years of hands-on experience building and deploying AI/ML solutions in production, including LLM-powered applications
Strong foundation in system design, distributed systems, and clean architecture
Proficiency with LangChain, LangGraph, PydanticAI, or AutoGen
Solid understanding of RAG architectures and vector databases
Experience with Model Context Protocol (MCP) and Agent-to-Agent (A2A) workflow patterns
Strong proficiency in Python and FastAPI or equivalent
Experience building RESTful and async, event-driven architectures
Experience with AWS, Azure, or GCP
Familiarity with Terraform, CDK, or equivalent Infrastructure as Code tools
Experience with Datadog, Grafana, Prometheus, or similar observability and monitoring stacks
Experience with LangSmith, Langfuse, Braintrust, Weights & Biases, or similar AI evaluation platforms
Strong background in secure API development
Knowledge of OAuth 2.0, OpenID Connect, and JWT
Strong prompt engineering skills
Fluency with AI-assisted development tools such as Claude Code, Cursor, or GitHub Copilot
Excellent communication skills with engineers, non-technical stakeholders, and legal professionals
Ability to work independently, navigate ambiguity, and contribute to client-facing workshops and discovery sessions
Preferred: fluency in legal terminology and experience working directly within or alongside legal teams
Preferred: experience in legal, fintech, or healthcare and familiarity with compliance and data privacy requirements
Preferred: experience with legal platforms, document management systems, and legal technology ecosystems
Preferred: Docker/Kubernetes experience
Preferred: MLOps and LLMOps knowledge
Preferred: understanding of transformer-model scaling, limitations, and fine-tuning
Preferred: familiarity with MCP ecosystem tooling and A2A communication patterns
Preferred: portfolio demonstrating complex, production-grade AI solutions

Benefits

Comp & perks

Flexible hybrid working environment
Work from anywhere for up to 8 weeks per year
Flexible vacation
Two company-wide Mental Health Days off
Headspace app access
Retirement savings
Tuition reimbursement
Employee incentive programs
Mental, physical, and financial wellbeing resources
Two paid volunteer days off annually
Pro-bono consulting and ESG initiative opportunities
Health, dental, vision, disability, and life insurance programs
401(k) plan with company match
Sick and safe paid time off
Paid holidays
Parental leave
Sabbatical leave
Optional hospital, accident and sickness insurance
Optional life and AD&D insurance
Flexible Spending and Health Savings Accounts
Fitness reimbursement
Employee Assistance Program
Group Legal Identity Theft Protection
529 Plan access
Commuter benefits
Adoption & Surrogacy Assistance
Employee Stock Purchase Plan
May be eligible for an Annual Bonus