Senior Software Engineer – AI

You will join a dynamic team at Thomson Reuters, where AI technologies are being deeply invested in and emerging fields are being explored. As a Senior Software Engineer – AI, you will play a key role in developing intelligent systems that power the next generation of expert solutions across legal, tax, risk, and compliance domains.

Responsibilities:

• Collaborate with a cross-functional team 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.
• Optimize AI system performance considering factors like latency and resource usage.
• Support application feature enhancements through AI capabilities.

Requirements:

• 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.

Benefits:

• Hybrid work model (2-3 days a week in the office).
• Flexible work arrangements and work-life balance.
• Career development and growth opportunities.
• Industry-competitive benefits, including flexible vacation, mental health days, and retirement savings.
• Opportunities for social impact and community involvement.