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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer - AI I - **Company:** Reuters America LLC - **Location:** Frisco, TX, United States - **Experience:** Expert - **Salary:** $146,800.0 - $272,600.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Engineering, Distributed Systems, Graph Database, Information Retrieval, Python (Programming Language), Westlaw, Machine Learning, Neo4j, Named Entity Recognition, Object-Oriented Software Development, Software Product Management, OpenAI, Tensorflow, Search Technologies, Software Engineering, Systems Integration, Pytorch, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Generative AI, Backend, Agentic-AI, AI Platforms, Kubernetes, Information Technology, Machine Learning Operations, Api Design, Api Gateway, Graph RAG, Terraform, Data Pipelines, Docker, Microservices - **Published:** October 17, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88634872/1 ## About the Role * Bachelor's degree in Computer Science, Engineering, or equivalent experience (Master's preferred). * 5+ years of software engineering experience, including 3 years in senior or lead roles on AI/ML systems. * A track record as a software engineer with AI expertise (not primarily a data scientist or researcher), with hands-on experience in generative AI, RAG, or LLM-based systems, covering discovery, architecture, agentic tools, evaluation, deployment, and metrics. * Expert-level proficiency in Python or another object-oriented language, with strong backend service and API design skills. * Solid understanding of ML principles, evaluation methodologies, and distributed systems, plus working experience with AI/ML frameworks (e.g., PyTorch, TensorFlow). * Advanced experience with AWS and with Docker, Kubernetes, and Terraform, and a record of integrating AI models into large-scale production systems through APIs, data pipelines, and cloud-native architectures. * Strong technical leadership and mentoring experience as an individual contributor, with the communication skills to influence senior stakeholders., * Experience leading technical direction for teams building agent-based systems or enterprise integrations with AI APIs (e.g., OpenAI, Anthropic). * Advanced knowledge of vector databases, embeddings, semantic search, and information retrieval. * Hands-on experience with knowledge graphs, including graph data modeling, ontologies and taxonomies, graph databases (e.g., Neo4j, Amazon Neptune), and combining graphs with LLMs through approaches such as GraphRAG and entity extraction. * Domain expertise in legal, tax, accounting, or other regulated industries, or in large-scale search platforms. * Successful AI product launches and experience scaling AI systems to enterprise customers. * Experience with AI governance, model risk management, and regulatory compliance. * Publications, patents, or speaking experience in AI/ML.Jon ## Description As an AI Staff Engineer, you will help define and build the AI foundation that powers the next generation of Westlaw experiences. You will work on cutting-edge technologies including agentic systems, retrieval-augmented generation (RAG), AI platforms, and large-scale knowledge services, enabling teams across Westlaw to deliver intelligent, trustworthy, and high-performing solutions for legal professionals worldwide., * Build and architect AI-driven systems - Design and lead the implementation of enterprise-scale AI systems, including multi-component pipelines, retrieval-augmented generation (RAG) and knowledge graph-based architectures, and autonomous AI agents with multi-step reasoning; stay hands-on across the stack, from AI orchestration and RAG through API gateways, microservices, and modern web UIs. * Drive innovation and technical strategy - Evaluate and drive adoption of emerging AI techniques; run proof-of-concept work and assess technical feasibility for new AI-driven features; stay current with AI research and translate insights into technical roadmaps; represent the organization at industry conferences and events. * Provide technical leadership - Help make design decisions and translate business requirements into scalable technical specifications; mentor senior and junior software engineers; champion MLOps and LLMOps practices and governance for the AI model lifecycle. * Ensure quality, security, and operational excellence - Design and implement testing, monitoring, and observability for AI systems at scale; ensure compliance with ethical AI principles, security standards, and regulatory requirements. * Lead cross-functional collaboration and drive business value delivery - Partner with AI researchers, engineering leadership, design, and product to turn AI capabilities into customer-facing applications; set technical priorities and stay engaged through delivery so AI investments produce measurable business value; optimize performance for latency, cost, and user experience; influence product strategy through technical depth.