Full - stack developer creating mission critical software solutions for clients' critical missions. Join a training program and apply skills in an agile environment.
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
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
- 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
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