# Software Engineer - AI – CoCounsel Forward Deployed Engineering

**Company**: Thomson Reuters
**Work arrangement**: hybrid
**Experience**: mid
**Job type**: full-time
**Salary**: $109,000 USD - $203,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/United-States-of-America-Frisco-Texas/Software-Engineer---AI--Legal----CoCounsel-Forward-Deployed-Engineering_JREQ200166-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_09a5d522-d25

## Description

We are looking for a Software Engineer - AI to join our CoCounsel Forward Deployed Engineering team. 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.

Responsibilities:

- Translate legal workflows and business needs into reliable technical solutions that combine foundation models, proprietary AI capabilities, and legal-domain understanding.

- Contribute to technical discovery, solution delivery, prototyping, integrations, and evaluation of AI outputs for legal use cases.

- Ensure the systems deployed 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.

- 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.

Requirements:

- 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.

Benefits:

- Hybrid Work Model: flexible hybrid working environment

- Flexibility & Work-Life Balance: supportive workplace policies

- Career Development and Growth: culture of continuous learning and skill development

- Industry Competitive Benefits: comprehensive benefit plans

- Culture: award-winning reputation for inclusion and belonging, flexibility, work-life balance

- Social Impact: opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives

## Skills

### Required
- Python
- AI/ML
- LLM
- cloud platforms
- containerization
- deployment workflows

### Nice to have
- OpenAI
- Anthropic
- vector databases
- embeddings
- search
- retrieval systems

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Source: [Apply at thomsonreuters.wd5.myworkdayjobs.com](https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/United-States-of-America-Frisco-Texas/Software-Engineer---AI--Legal----CoCounsel-Forward-Deployed-Engineering_JREQ200166-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)