Overview
Senior AI Solutions Engineer at Thomson Reuters Labs with a focus on applied research at an industry setting. You will work on state-of-the-art information retrieval, natural language processing and generative AI to solve real problems for legal, tax, and risk compliance domains.
Responsibilities
- Develop zero-to-one concepts for expert systems
- Systematically discover and test prompt engineering best practices
- Optimize data sets for prompt development, model training and evaluation
- Help create and maintain infrastructure required for efficient prompt development
- Test and assess open-source solutions for LLM application development including orchestration frameworks, tool interfaces, and context management
- Develop automated techniques for the design and evaluation of AI agents
- Analyze usage data to gauge the effectiveness of AI solutions and iteratively improve
- Stay up to date with the latest research and emerging technologies for AI engineering
About You
The ideal candidate will have a background in NLP, experience building with LLMs, Python proficiency for rapid prototyping, and the soft skills to bridge technical and business perspectives.
Required Qualifications
- Master’s degree in CS/ML/DS or a bachelor’s degree with equivalent experience
- 4 to 6 years of transferrable experience in natural language processing (NLP)
- Basic familiarity with the architecture and operation of large language models
- Strong desire to work closely with subject matter experts on real world use cases
- Active interest in emerging research and industry trends around AI software development
- Proficiency in Python and AI development tools
- A mindset for good experiment design and evaluation; strong analytical and critical thinking
- Excellent communication and organizational skills
Preferred Qualifications
- Experience working on legal AI systems (e.g., for contract analysis, legal research, or drafting)
- Domain knowledge in legal, tax, or accounting. A law degree (J.D.), paralegal experience, etc.
- A portfolio of projects demonstrating creativity and skill building solutions with LLMs
- Experience developing NLP applications involving NER, information retrieval, text summarization, question answering, or similar
- Knowledge of MLOps and the end-to-end lifecycle of software applications involving AI models
What We Offer
- Hybrid Work Model: We support a hybrid and flexible environment (2-3 days per week in the office, depending on role) for roles based in the office to ensure a cohesive digital and in-person experience.
- Work-Life Flexibility: Policies designed to help balance personal and professional responsibilities, including flexible work arrangements and options to work remotely where applicable.
- Professional Development: We promote continuous learning with programs focused on growth and skill development to prepare you for the future.
- Competitive Benefits: Comprehensive benefits including medical and dental coverage, wellness programs, and performance-based incentives.
- Culture: Inclusive and globally recognized for belonging, flexibility, and a focus on customers. Our values include customer obsession, winning together, challenging our thinking, moving fast, and learning fast.
- Social Impact: Paid volunteering days and opportunities to engage in ESG initiatives and pro bono consulting projects.
- Making a Real Impact Worldwide: We help clients pursue justice, truth and transparency by supporting professionals and institutions worldwide.
Who We Are
Thomson Reuters enables decision-making by combining reliable content with technology. We serve professionals in legal, tax, accounting, compliance, government, and media. Our products couple specialized software and information to empower informed decisions and uphold accuracy and transparency. The Reuters News Agency is a global leader in trusted journalism.
We employ 26,000 people in over 70 countries, with opportunities to grow in flexible work environments. We strive for objectivity, accuracy, equity, and transparency in all we do.
We welcome applicants from diverse backgrounds and provide accommodations where needed. For more information about applying for accommodations, see our policies. Learn more about Thomson Reuters at thomsonreuters.com.