Thomson Reuters
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Lead/Staff Software Engineer, AI Are you ready to architect cutting‑edge AI systems that empower legal professionals to work smarter and faster? Join Thomson Reuters Practical Law—a trusted partner to legal practitioners worldwide—and help shape the future of AI‑driven legal solutions.
As a Staff Software Engineer – AI on the Practical Law team, you will be at the forefront of innovation, designing and deploying sophisticated AI systems that transform how legal professionals access and apply critical knowledge. You’ll work with a collaborative, forward‑thinking team that values technical excellence, ethical AI practices, and delivering real impact to customers who rely on our products every day. This role offers the opportunity to explore emerging technologies, solve complex technical challenges, and contribute to products that set the standard in the legal technology industry.
About The Role
Architect and implement complex AI systems, including multi‑component pipelines, Retrieval‑Augmented Generation (RAG) systems, and custom AI agents that power next‑generation legal solutions.
Ensure system quality and compliance by implementing comprehensive testing frameworks, monitoring tools, and ethical AI practices that maintain the highest standards of reliability and trustworthiness.
Proactively identify issues and risks, make data‑driven recommendations, and take corrective action to optimize system performance and mitigate potential challenges.
Collaborate with cross‑functional teams including Product, UX, and Science to align AI features with product goals and translate functional requirements into robust technical specifications.
Conduct proof‑of‑concepts (POCs) to evaluate emerging technologies and explore the feasibility of AI solutions for innovative use cases.
Analyze existing systems and recommend improvements to enhance operational efficiency, scalability, and overall system architecture.
About You
7+ years of experience in software engineering; at least 3 years focused on AI/ML.
Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow).
Strong understanding of AI/ML systems including experience with RAG architectures, AI agents, or multi‑component AI pipelines.
Proven ability to collaborate across disciplines, working effectively with product managers, designers, and data scientists to deliver integrated solutions.
2–4 years of hands‑on Python experience building production‑quality applications, writing clean and testable code, and working with common libraries and frameworks.
2–4 years of JavaScript/TypeScript experience building production applications in React and Angular, including state management and modern front‑end development practices.
2–4 years of AWS experience designing, deploying, and operating scalable cloud services using core AWS offerings such as Lambda, S3, EC2, and related tooling.
Strong understanding of machine learning principles, evaluation, and system design.
Knowledge of MLOps and the end‑to‑end lifecycle of AI‑powered software applications.
Experience integrating AI models into production systems using APIs and data pipelines.
Experience with AI‑driven systems, agent‑based architectures, or AI APIs from providers like OpenAI and Anthropic.
Knowledge of vector databases, embeddings, or search‑based AI.
Domain knowledge in legal, tax, or accounting.
A portfolio of projects demonstrating creativity and skill building solutions with LLMs.
What’s in it For You
Hybrid Work Model: Flexible hybrid working environment (2‑3 days a week in the office).
Flexibility & Work‑Life Balance: Up to 8 weeks per year work from anywhere and supportive policies.
Career Development and Growth: Continuous learning, Grow My Way programming, skills‑first approach.
Industry Competitive Benefits: Flexible vacation, mental health days, Headspace app, retirement savings, tuition reimbursement, and more.
Culture: Inclusion, belonging, flexibility, and core values of customer obsession, win competition, and learning fast.
Social Impact: Volunteer days, pro‑bono consulting, ESG initiatives.
Real‑World Impact: Help uphold the rule of law and provide trusted, unbiased information to users worldwide.
About Us 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.
We are powered by the talents of 26,000 employees across more than 70 countries. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
Equal Employment Opportunity Thomson Reuters is a proud Equal Employment Opportunity Employer. We provide a drug‑free workplace and make reasonable accommodations for applicants with disabilities. We consider all applicants regardless of race, color, sex/gender, national origin, religion, sexual orientation, disability, age, marital status, veteran status, or any other protected classification under applicable law.
#J-18808-Ljbffr
Lead/Staff Software Engineer, AI Are you ready to architect cutting‑edge AI systems that empower legal professionals to work smarter and faster? Join Thomson Reuters Practical Law—a trusted partner to legal practitioners worldwide—and help shape the future of AI‑driven legal solutions.
As a Staff Software Engineer – AI on the Practical Law team, you will be at the forefront of innovation, designing and deploying sophisticated AI systems that transform how legal professionals access and apply critical knowledge. You’ll work with a collaborative, forward‑thinking team that values technical excellence, ethical AI practices, and delivering real impact to customers who rely on our products every day. This role offers the opportunity to explore emerging technologies, solve complex technical challenges, and contribute to products that set the standard in the legal technology industry.
About The Role
Architect and implement complex AI systems, including multi‑component pipelines, Retrieval‑Augmented Generation (RAG) systems, and custom AI agents that power next‑generation legal solutions.
Ensure system quality and compliance by implementing comprehensive testing frameworks, monitoring tools, and ethical AI practices that maintain the highest standards of reliability and trustworthiness.
Proactively identify issues and risks, make data‑driven recommendations, and take corrective action to optimize system performance and mitigate potential challenges.
Collaborate with cross‑functional teams including Product, UX, and Science to align AI features with product goals and translate functional requirements into robust technical specifications.
Conduct proof‑of‑concepts (POCs) to evaluate emerging technologies and explore the feasibility of AI solutions for innovative use cases.
Analyze existing systems and recommend improvements to enhance operational efficiency, scalability, and overall system architecture.
About You
7+ years of experience in software engineering; at least 3 years focused on AI/ML.
Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow).
Strong understanding of AI/ML systems including experience with RAG architectures, AI agents, or multi‑component AI pipelines.
Proven ability to collaborate across disciplines, working effectively with product managers, designers, and data scientists to deliver integrated solutions.
2–4 years of hands‑on Python experience building production‑quality applications, writing clean and testable code, and working with common libraries and frameworks.
2–4 years of JavaScript/TypeScript experience building production applications in React and Angular, including state management and modern front‑end development practices.
2–4 years of AWS experience designing, deploying, and operating scalable cloud services using core AWS offerings such as Lambda, S3, EC2, and related tooling.
Strong understanding of machine learning principles, evaluation, and system design.
Knowledge of MLOps and the end‑to‑end lifecycle of AI‑powered software applications.
Experience integrating AI models into production systems using APIs and data pipelines.
Experience with AI‑driven systems, agent‑based architectures, or AI APIs from providers like OpenAI and Anthropic.
Knowledge of vector databases, embeddings, or search‑based AI.
Domain knowledge in legal, tax, or accounting.
A portfolio of projects demonstrating creativity and skill building solutions with LLMs.
What’s in it For You
Hybrid Work Model: Flexible hybrid working environment (2‑3 days a week in the office).
Flexibility & Work‑Life Balance: Up to 8 weeks per year work from anywhere and supportive policies.
Career Development and Growth: Continuous learning, Grow My Way programming, skills‑first approach.
Industry Competitive Benefits: Flexible vacation, mental health days, Headspace app, retirement savings, tuition reimbursement, and more.
Culture: Inclusion, belonging, flexibility, and core values of customer obsession, win competition, and learning fast.
Social Impact: Volunteer days, pro‑bono consulting, ESG initiatives.
Real‑World Impact: Help uphold the rule of law and provide trusted, unbiased information to users worldwide.
About Us 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.
We are powered by the talents of 26,000 employees across more than 70 countries. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
Equal Employment Opportunity Thomson Reuters is a proud Equal Employment Opportunity Employer. We provide a drug‑free workplace and make reasonable accommodations for applicants with disabilities. We consider all applicants regardless of race, color, sex/gender, national origin, religion, sexual orientation, disability, age, marital status, veteran status, or any other protected classification under applicable law.
#J-18808-Ljbffr