Innovation AI Developer

About Kirkland & Ellis

At Kirkland & Ellis, we don’t just meet the standard for legal excellence — we set it. Our culture is built on teamwork, ingenuity and an unwavering commitment to continuous growth. We tackle the most sophisticated legal challenges with bold ideas and innovative solutions, powered by the exceptional experience and ambition of our 7,000+ people, including 4,000+ attorneys, across 24 offices worldwide. Our dedicated professionals share our lawyers’ commitment to excellence and show up each day to do meaningful work that helps drive global business, investment and innovation forward.

What You’ll Do

• Play a pivotal role on our Innovation Engineering team—designing and deploying intelligent, secure, and scalable AI applications that transform how we deliver legal services and operate our business.
• Partner closely with attorneys, business leaders, data scientists, and infrastructure teams to translate nuanced legal and operational challenges into practical AI solutions with measurable outcomes.
• Work across the full AI lifecycle—leveraging large language models (LLMs), retrieval-augmented generation (RAG), classical machine learning, and modern cloud architectures to drive efficiency, quality, and informed decision-making.

Education & Experience

• Bachelor’s degree in computer science or a related field preferred.
• 7+ years of experience in professional services, legal, or technical environments, with demonstrated hands-on experience building and deploying AI applications.

AI Engineering Expertise

• Strong Python development skills and experience designing and implementing RAG pipelines, working with vector databases (e.g., Pinecone), and building AI agents and multi-service AI architectures—particularly within Azure environments.
• Familiarity with Azure services (e.g., Cognitive Search, Cosmos DB, AI Studio), as well as Docker, Kubernetes, and CI/CD practices that support scalable, production-ready deployments.

Evaluation & Data Integration

• Experience designing and maintaining LLM evaluation frameworks (e.g., Promptfoo, OpenAI Evals, LangSmith) and integrating structured and unstructured data sources into AI systems.

Security & Governance Awareness

• Experience operating within environments that require strict adherence to security, privacy, and governance standards for sensitive data.

Business Acumen & Communication

• Proven ability to conduct stakeholder discovery, quantify return on investment (ROI), and translate ambiguous challenges into clearly defined AI requirements.
• Strong communication skills with the ability to explain complex technical concepts to non-technical audiences.

Legal Domain Exposure (Preferred)

• Experience supporting legal use cases such as due diligence, contract review, or legal research, and prior law firm experience.

How to Apply

To complete an application and submit your resume, please click "Apply Now."