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About the Role

As a Software Engineer - AI, you will partner with AI Solution Engineers, Architects, and senior technical teammates to design, build, and deploy AI-powered solutions for legal customers. You will help translate legal workflows and business needs into reliable technical solutions that combine foundation models, proprietary AI capabilities, and legal-domain understanding. This role is ideal for someone who enjoys hands-on engineering, client-facing problem solving, and applied AI development. You will contribute to technical discovery, solution delivery, prototyping, integrations, and evaluation of AI outputs for legal use cases. You will play an important role in ensuring the systems we deploy are practical, accurate, secure, and aligned with the high standards required in legal environments.

Responsibilities

Support client engagements by participating in technical discovery sessions, gathering requirements, and helping scope 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 that inform solution design.
Develop working knowledge of legal terminology, legal processes, and operational constraints in law firms and corporate legal departments.
Design, develop, and implement AI-powered solutions for legal workflows such as contract review, litigation support, discovery automation, and regulatory analysis.
Build and support retrieval-augmented generation (RAG) pipelines, agentic workflows, and other multi-component AI systems.
Configure and integrate solutions using CoCounsel, Westlaw, Practical Law, and other enterprise platforms where applicable.
Develop automation scripts, APIs, and integration components tailored to customer environments and use cases.
Collaborate with senior engineers and architects to ensure solutions are scalable, maintainable, and secure.
Help 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 new 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 for internal use.
Experiment with prompting strategies, workflow improvements, and emerging AI techniques to improve legal use-case performance.
Stay current with developments in AI engineering, legal technology, and applied LLM systems.

Requirements

2–4 years of software engineering experience, including experience building applications or integrations in production environments.
Hands-on experience with Python and 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 cross-functional teams, including legal, product, and engineering stakeholders.
Comfortable working in fast-paced environments, learning quickly, and contributing 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.

Skills

Python
AI/ML tooling and APIs
Machine learning concepts
LLM concepts
Prompt design
Workflow orchestration
API integration
Workflow automation
Data pipelines
Communication skills
Cloud platforms (AWS, Azure, GCP)
Containerization
Deployment workflows
Modern software development practices
AI platforms/APIs (OpenAI, Anthropic)
Vector databases
Embeddings
Search systems
Retrieval systems

Location

New York City
San Francisco
Los Angeles
Irvine, CA
McLean, VA
Washington, DC
Ontario, Canada

Work Type

Hybrid
Work from anywhere for up to 8 weeks per year

Experience Level

2-4 years of software engineering experience

Salary/Compensations

For eligible US locations: $94,900 USD - $176,300 USD
For New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC: $109,000 USD - $203,000 USD
For Ontario, Canada: $80,000 CAD - $100,000 CAD

Benefits

Flexible hybrid working environment (2-3 days a week in the office)
Flex My Way policies
Work from anywhere for up to 8 weeks per year
Continuous learning and skill development opportunities
Grow My Way programming
Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings with company match
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance
Two paid volunteer days off annually
Opportunities to get involved with pro-bono consulting projects and ESG initiatives
Market competitive health, dental, vision, disability, and life insurance programs
Competitive 401k plan with company match
Competitive vacation, 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
Access to Employee Assistance Program
Group Legal Identity Theft Protection benefit
Access to 529 Plan
Commuter benefits
Adoption & Surrogacy Assistance
Employee Stock Purchase Plan

About the Company

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions.
We serve professionals across legal, tax, accounting, compliance, government, and media.
Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency.
Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments.
At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them.
Join us and help shape the industries that move society forward.

Equal Opportunity

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law.
Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law.
If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com.
Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations.
Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations.
More information on requesting an accommodation here.
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More information about Thomson Reuters can be found on thomsonreuters.com