Hiring: Senior Software Engineer, AI Company: Thomson Reuters Location: Frisco, TX Job Posted Time: 2026-09-16 11:17:07 Employment Type: Hybrid Target Skills & Keywords : API Design, AWS, Angular, Data Pipeline, Docker, Java, Kubernetes, LLM, MLOps, Microservices, PyTorch, Python, RAG, REST, RESTful, React, Regulatory Compliance, Spring Boot, TensorFlow, Terraform, User Experience, Vue About the job Experience: •5+ years of software engineering experience with at least 2 years hands-on building production AI/ML or GenAI features (RAG, LLMs, agents, or similar)—as a software engineer, not primarily as a data scientist or ML researcher. •At least 2 years hands-on building production AI/ML or GenAI features (RAG, LLMs, agents, or similar)—as a software engineer, not primarily as a data scientist or ML researcher. Required Skills: •Explore and apply emerging AI practices — Evaluate and help adopt new AI techniques; contribute to proof-of-concept work and technical feasibility for AI-driven features; stay current with AI research and apply practical insights to implementation; optionally participate in internal tech talks or community learning. •Provide technical depth and collaboration — Participate in architecture and design discussions; translate business requirements into clear technical approaches alongside your team; mentor and support other engineers; follow and help improve MLOps and LLMOps practices for the AI model lifecycle. •Ensure quality, security, and operational excellence — Implement testing, monitoring, and observability for AI systems; follow ethical AI, security, and regulatory requirements; support governance for AI model lifecycle management in production. •Partner across disciplines — Work closely with AI researchers, engineering leadership, design, and product to turn AI capabilities into market-leading applications; optimize performance for latency, cost, and user experience; bring strong technical judgment to roadmap and feature discussions. Qualifications: •Bachelor's degree in Computer Science, Engineering, or equivalent experience, and 5+ years of software engineering experience with at least 2 years hands-on building production AI/ML or GenAI features (RAG, LLMs, agents, or similar)—as a software engineer, not primarily as a data scientist or ML researcher. •Proven track record delivering software with AI expertise, including experience across the lifecycle: solution discovery, architecture, tooling, evaluation, deployment, operations, and metrics. •Strong proficiency in Python and practical experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX); solid understanding of ML principles, evaluation methodologies, and distributed systems; experience with MLOps/LLMOps and shipping AI capabilities to production. •Applied hands-on capability in AWS and orchestration tools (Docker, Kubernetes, Terraform); ability to integrate AI models into production systems via APIs, data pipelines, and cloud-native architectures. •Strong collaboration skills; clear written and verbal communication; ability to work independently on complex problems and align with team priorities. •Strong knowledge of vector databases, embeddings, semantic search, and information retrieval; domain familiarity with legal, tax, accounting, or regulated industries (e.g., investigative or large-scale search platforms). •Track record contributing to AI product launches and scaling AI systems for enterprise use; exposure to AI governance, model risk management, or regulatory compliance; publications, patents, or speaking experience in AI/ML. •Hybrid Work Model: We’ve adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected. •Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. •Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Compensation: •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!