Software Engineer - AI – CoCounsel Forward Deployed Engineering

• You will partner with AI Solution Engineers, Architects, and senior technical teammates to design, build, and deploy AI-powered solutions for legal customers.
• 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.

• 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.
• #LI-GK1 This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.

We’ve adopted a flexible hybrid working environment for our office‑based roles while delivering a seamless experience that is digitally and physically connected.

Flex My Way is a set of supportive workplace policies designed to help manage personal and…