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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - AI - CoCounsel Forward Deployed Engineering - **Company:** Reuters America LLC - **Location:** Frisco, TX, United States - **Experience:** Experienced - **Salary:** $94,900.0 - $176,300.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automated Storage and Retrieval Systems, Microsoft Azure, Law Practice Management Software, Python (Programming Language), Westlaw, Machine Learning, OpenAI, Software Engineering, Systems Integration, Software Organization, Delivery Pipeline, Large Language Models, Prompt Engineering, Containerization, AI Platforms, Data Pipelines, Web Api - **Published:** October 2, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/16587866?backUrl=%2Fcareer%2F16587866%2FSoftware-Engineer-Ai-Legal-Cocounsel-Forward-Deployed-Engineering-Texas-Frisco ## About the Role * 2-4 years of software engineering experience, including experience building applications or integrations in production environments. * Hands-on experience with Python and familiarity with modern AI/ML tooling and APIs. * Understanding of core machine learning and LLM concepts, including prompt design, evaluation, and workflow orchestration. * Experience integrating external APIs, automating workflows, or building data pipelines. * Strong communication skills and ability to work effectively with cross-functional teams, including legal, product, and engineering stakeholders. * Comfortable working in fast-paced environments, learning quickly, and contributing across multiple projects. * Experience with cloud platforms such as AWS, Azure, or GCP. * Familiarity with containerization, deployment workflows, and modern software development practices. * Experience using AI platforms or APIs such as OpenAI, Anthropic, or similar providers. * Exposure to vector databases, embeddings, search, or retrieval systems. * Experience working on AI solutions in legal, compliance, financial, healthcare, or other regulated/professional domains. Portfolio or project examples demonstrating practical use of LLMs, automations, or applied AI systems. ## Description As a Software Engineer - AI, * You will partner with AI Solution Engineers, Architects, and senior technical teammates to design, build, and deploy AI-powered solutions for legal customers. * You will help translate legal workflows and business needs into reliable technical solutions that combine foundation models, proprietary AI capabilities, and legal-domain understanding. * This role is ideal for someone who enjoys hands-on engineering, client-facing problem solving, and applied AI development. * You will contribute to technical discovery, solution delivery, prototyping, integrations, and evaluation of AI outputs for legal use cases. * You will play an important role in ensuring the systems we deploy are practical, accurate, secure, and aligned with the high standards required in legal environments. * Support client engagements by participating in technical discovery sessions, gathering requirements, and helping scope legal AI use cases. * Work with legal and technical stakeholders to understand workflows, pain points, and desired outcomes. * Assist with demonstrations, proofs of concept, and early-stage prototypes that inform solution design. * Develop working knowledge of legal terminology, legal processes, and operational constraints in law firms and corporate legal departments. * Design, develop, and implement AI-powered solutions for legal workflows such as contract review, litigation support, discovery automation, and regulatory analysis. * Build and support retrieval-augmented generation (RAG) pipelines, agentic workflows, and other multi-component AI systems. * Configure and integrate solutions using CoCounsel, Westlaw, Practical Law, and other enterprise platforms where applicable. * Develop automation scripts, APIs, and integration components tailored to customer environments and use cases. * Collaborate with senior engineers and architects to ensure solutions are scalable, maintainable, and secure. * Help evaluate LLM outputs for legal accuracy, relevance, citation quality, consistency, and hallucination risk. * Contribute to test cases, benchmarks, and evaluation workflows based on real legal tasks. * Partner with internal teams to validate new capabilities against real-world legal use cases. * Support compliance with responsible AI principles, data privacy requirements, and enterprise security standards. * Translate functional requirements into technical tasks and contribute to implementation planning. * Document solutions, reusable components, and engineering best practices for internal use. * Experiment with prompting strategies, workflow improvements, and emerging AI techniques to improve legal use-case performance. * Stay current with developments in AI engineering, legal technology, and applied LLM systems. ## Related Videos - [Web APIs you might not know about](https://www.wearedevelopers.com/videos/281-web-apis-you-might-not-know-about) - [Develop AI-powered Applications with OpenAI Embeddings and Azure Search](https://www.wearedevelopers.com/videos/828-develop-ai-powered-applications-with-openai-embeddings-and-azure-search) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents) - [Coding an Immersive Copilot using Unity / .NET and Azure OpenAI!](https://www.wearedevelopers.com/videos/1204-coding-an-immersive-copilot-using-unity-net-and-azure-openai) - [Three years of putting LLMs into Software - Lessons learned](https://www.wearedevelopers.com/videos/1508-three-years-of-putting-llms-into-software-lessons-learned) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [13 AI Tools You Have to Try](https://www.wearedevelopers.com/magazine/219-13-ai-tools-you-have-to-try) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)