Software Engineer – AI

Thomson Reuters

Software Engineer building applied AI solutions for Thomson Reuters’ CoCounsel legal platform. Developing RAG pipelines, integrations, prototypes, and LLM evaluation workflows for legal customers.

Posted 9/8/2026full-timeFrisco • District of Columbia, Minnesota, Missouri, New York, Texas, Virginia, Washington • 🇺🇸 United StatesJuniorMid-Level💰 $94,900 - $176,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI-powered solutions tailored for legal applications, with a strong foundation in Python programming, machine learning concepts, and integration of legal workflows. Proficient in collaborating with cross-functional teams to deliver scalable and secure AI solutions while ensuring compliance with legal and ethical standards.

Highest-signal resume keywords

Python ProgrammingAI/ML Tooling and APIsLegal Workflow IntegrationCloud Platforms (AWS, Azure, GCP)LLM Concepts and Evaluation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAPI IntegrationData Pipeline DevelopmentAutomation ScriptingPrompt DesignEvaluation WorkflowsContainerizationDeployment WorkflowsRetrieval-Augmented Generation (RAG)Legal Terminology

Soft Skills

Strong Communication SkillsCollaborationAdaptabilityProblem-Solving

Tools & Technologies

CoCounselWestlawPractical LawOpenAIAnthropicVector Databases

Industry Keywords

Legal TechnologyComplianceRegulated DomainsAI SolutionsOperational Constraints

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Partner with AI Solution Engineers, Architects, and senior technical teammates to design, build, and deploy AI-powered solutions for legal customers
Translate legal workflows and business needs into reliable technical solutions combining foundation models, proprietary AI capabilities, and legal-domain understanding
Contribute to technical discovery, solution delivery, prototyping, integrations, and evaluation of AI outputs for legal use cases
Support client engagements through technical discovery sessions, requirements gathering, and scoping of legal AI use cases
Work with legal and technical stakeholders to understand workflows, pain points, and desired outcomes
Assist with demonstrations, proofs of concept, and early-stage prototypes
Develop working knowledge of legal terminology, processes, and operational constraints
Design, develop, and implement AI-powered solutions for contract review, litigation support, discovery automation, and regulatory analysis
Build and support retrieval-augmented generation (RAG) pipelines, agentic workflows, and multi-component AI systems
Configure and integrate solutions using CoCounsel, Westlaw, Practical Law, and other enterprise platforms
Develop automation scripts, APIs, and integration components tailored to customer environments
Collaborate with senior engineers and architects to ensure solutions are scalable, maintainable, and secure
Evaluate LLM outputs for legal accuracy, relevance, citation quality, consistency, and hallucination risk
Contribute to test cases, benchmarks, and evaluation workflows based on real legal tasks
Partner with internal teams to validate capabilities against real-world legal use cases
Support compliance with responsible AI principles, data privacy requirements, and enterprise security standards
Translate functional requirements into technical tasks and contribute to implementation planning
Document solutions, reusable components, and engineering best practices
Experiment with prompting strategies, workflow improvements, and emerging AI techniques
Stay current with AI engineering, legal technology, and applied LLM developments

Requirements

What you’ll need

2–4 years of software engineering experience, including experience building applications or integrations in production environments
Hands-on experience with Python
Familiarity with modern AI/ML tooling and APIs
Understanding of core machine learning and LLM concepts, including prompt design, evaluation, and workflow orchestration
Experience integrating external APIs, automating workflows, or building data pipelines
Strong communication skills and ability to work effectively with legal, product, and engineering stakeholders
Ability to work in fast-paced environments, learn quickly, and contribute across multiple projects
Experience with cloud platforms such as AWS, Azure, or GCP
Familiarity with containerization, deployment workflows, and modern software development practices
Experience using AI platforms or APIs such as OpenAI, Anthropic, or similar providers
Exposure to vector databases, embeddings, search, or retrieval systems
Experience working on AI solutions in legal, compliance, financial, healthcare, or other regulated/professional domains
Portfolio or project examples demonstrating practical use of LLMs, automations, or applied AI systems

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
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Two paid volunteer days off annually
Pro-bono consulting project opportunities
Environmental, Social, and Governance (ESG) initiative opportunities
Health, dental, vision, disability, and life insurance programs
Competitive 401k plan with company match
Competitive vacation, sick and safe paid time off
Paid holidays, including two company mental health days off
Parental leave
Sabbatical leave
Optional hospital, accident and sickness insurance paid 100% by the employee
Optional life and AD&D insurance paid 100% by the employee
Flexible Spending and Health Savings Accounts
Fitness reimbursement
Access to Employee Assistance Program
Group Legal Identity Theft Protection benefit paid 100% by employee
Access to 529 Plan
Commuter benefits
Adoption & Surrogacy Assistance
Employee Stock Purchase Plan
Annual Bonus based on enterprise and individual performance (role may be eligible)