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