About the role

Senior Software Engineer developing intelligent AI-powered systems at Thomson Reuters. Collaborating with cross-functional teams to design, build, and deliver innovative solutions.

Responsibilities

Collaborate with a cross-functional team of product managers, UX designers, and engineers to design, build, and deliver AI-powered solutions
Architect and implement advanced AI systems, including multi-component pipelines, retrieval-augmented generation (RAG), and custom AI agents with multi-step reasoning
Integrate AI models into production software through robust APIs and scalable data pipelines
Adapt AI models and techniques to specialized domains, tailoring solutions for expert systems in areas such as legal, tax, and compliance
Evaluate and prototype cutting-edge AI techniques to solve business challenges
Conduct proof-of-concept projects for new AI-driven features
Stay current with AI research and emerging technologies
Break down functional requirements into scalable technical specifications
Mentor junior engineers and facilitate technical discussions
Contribute to MLOps and LLMOps practices, both in design and implementation
Act as a thought leader, sharing expertise in company-wide forums and representing the organization in emerging technology areas
Implement comprehensive testing frameworks and monitoring systems for AI model performance
Ensure compliance with ethical AI principles and security standards
Conduct systems analysis and recommend operational improvements
Work closely with AI researchers, engineers, designers and product teams to translate AI capabilities into real-world applications

Bachelor's degree in computer science or equivalent experience
5+ years of experience in software engineering; at least 2 years focused on AI/ML
Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow)
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 cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes)
Excellent problem-solving skills and ability to work independently in a fast-paced environment
Strong communication skills and experience working in cross-functional teams

Flexible hybrid working environment (2-3 days a week in the office)
Work from anywhere for up to 8 weeks per year
Comprehensive benefit plans including 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
Market leading work life benefits including competitive vacation, sick and safe paid time off, paid holidays, parental leave, and 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
Access to Employee Stock Purchase Plan