Software Engineer - AI – CoCounsel Forward Deployed Engineering

About the role

Over 20,000 law firms and corporate legal departments, along with the majority of top US courts and Am Law 100 firms, already trust CoCounsel. The Forward Deployed Engineering team works directly on high-value, real-world legal AI problems — partnering closely with clients and internal teams to shape how AI is adopted in legal practice.

Responsibilities

• Partner with AI Solution Engineers, Architects, and senior technical teammates to design, build, and deploy AI-powered solutions for legal customers.
• Help translate legal workflows and business needs into reliable technical solutions that combine foundation models, proprietary AI capabilities, and legal-domain understanding.
• 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.
• 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.
• Experiment with prompting strategies, workflow improvements, and emerging AI techniques to improve legal use-case performance.
• Document solutions, reusable components, and engineering best practices for internal use.

Requirements

You’re fit for the role of Software Engineer - AI if your background includes:

• 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.

Qualifications

• Preferred qualifications include 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.
• A portfolio or project examples demonstrating practical use of LLMs, automations, or applied AI systems.

Benefits

• Hybrid Work Model
• Flexibility & Work-Life Balance
• Career Development and Growth
• Industry Competitive Benefits
• Culture
• Social Impact
• Making a Real-World Impact