Innovation AI Developer

Kirkland & Ellis; Chicago (IL); On-site; USD 176,000 - 242,000; Full time

Benefits offered by this job

Healthcare

Paid time off

Retirement benefits

Learning & development opportunities

Job summary

Kirkland & Ellis is seeking an Innovation AI Developer to build secure, scalable AI solutions for a leading law firm. You will collaborate with attorneys, innovation leaders, engineers, and data scientists to turn complex challenges into practical, deployment-ready applications.

The role covers full development lifecycle from prototyping to deployment on Azure, with RAG pipelines, AI agents, and governance considerations, in a hybrid, standard-hours environment with occasional travel.

Qualifications

• Bachelor’s degree in Computer Science or related field.
• 4+ years in professional services, legal, or technical roles; law firm experience preferred.
• Strong Python development, SQL, APIs, and data source integration.
• Hands-on with OpenAI, Azure OpenAI, Hugging Face, LangChain, LangFlow.
• Experience designing AI agents and RAG pipelines with vector DBs (e.g., Pinecone).
• Secure, scalable Azure deployments; Docker, Kubernetes; CI/CD familiarity.
• Experience with internal tooling: Retool, Streamlit, Gradio.
• Ability to explain complex tech to non-technical audiences.
• Security, privacy, governance for sensitive information.

Responsibilities

• Partner with legal, business, and technical stakeholders to identify valued use cases.
• Design and implement AI tools and workflows using LLMs and AI apps.
• Create retrieval-augmented generation pipelines and AI agents.
• Architect AI solutions on Microsoft Azure; cloud, on-prem, and hybrid deployments.
• Develop evaluation frameworks for model accuracy, safety, ROI, and alignment.
• Build internal libraries, docs, and repeatable solution patterns.
• Advise on prompt design, model selection, and evaluation methods.
• Lead pilots, demos, and user training; gather feedback.
• Stay current on AI developments and contribute to knowledge sharing.

Skills

Python

SQL

APIs

OpenAI Azure

Hugging Face

LangFlow

LangChain

Vector Databases

Azure

Docker

Kubernetes

CI/CD

Retool

Streamlit

Gradio

LangSmith

Promptfoo

Education

Bachelor’s degree in Computer Science or related field

Tools

OpenAI

Azure OpenAI

Hugging Face

LangFlow

LangChain

Pinecone

Azure AI Studio

Azure Cognitive Search

Azure Cosmos DB

Docker

Kubernetes

CI/CD

Retool

Streamlit

Gradio

Job description

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

Do you want to build artificial intelligence solutions that transform how a leading law firm serves clients and operates its business?

As an Innovation AI Developer within Innovation Engineering, you will create secure, scalable products that improve the quality, speed, and effectiveness of legal work and firm operations. Working closely with attorneys, innovation leaders, engineers, and data scientists, you will turn complex challenges into practical solutions using large language models (LLMs), classical machine learning (ML), and advanced analytics.

Reporting to the Director of Innovation Engineering, you will help build the firm’s Innovation Engineering program and lead solutions through the full development lifecycle, from experimentation and evaluation to deployment and monitoring. This firm-wide role has standard hours of 9:00 a.m. to 5:00 p.m., which may vary, and requires occasional travel.

• Partner with legal, business, and technical stakeholders to identify valuable use cases, turn complex needs into clear requirements, and define measurable outcomes related to efficiency, quality, and risk mitigation.
• Design and implement internal tools and workflows using artificial intelligence (AI) models, vector databases, orchestration frameworks, and modern user-interface platforms.
• Create retrieval-augmented generation (RAG) pipelines, AI agents, and applications supporting areas such as contract analysis, diligence review, document summarization, and legal research.
• Architect resilient AI solutions on Microsoft Azure and collaborate with infrastructure and security teams on cloud, local, and hybrid deployments involving sensitive legal and business data.
• Design and maintain evaluation frameworks that measure model accuracy, robustness, safety, business value, and alignment with specific use cases.
• Build internal libraries, documentation, and repeatable solution patterns that enable efficient, consistent development across the firm.
• Advise on prompt design, model selection, and evaluation methods while supporting pilots, demonstrations, user training, and feedback collection.
• Evaluate emerging tools, open-source libraries, vendor platforms, and third-party applications while contributing to technical diligence and technology decisions.
• Stay current on AI developments and contribute to presentations, internal training, thought leadership, and knowledge sharing for attorneys, business teams, colleagues, and clients.
• Work across Innovation, engineering, data science, legal, and business teams while supporting other engineers and helping coordinate technical workstreams.

What You’ll Bring

• A bachelor’s degree is required, preferably in computer science or a related field.
• At least four years of experience in professional services, legal, or technical roles, with demonstrated success in collaborative, team-based environments. Experience in a law firm is preferred.
• Strong Python development skills, proficiency with Structured Query Language (SQL), and the ability to work with databases, application programming interfaces (APIs), document repositories, and other structured or unstructured data sources.
• Hands‑on experience with platforms and frameworks such as OpenAI, Azure OpenAI, Hugging Face, LangFlow, LangChain, and comparable technologies.
• Experience designing AI agents and RAG pipelines using vector databases such as Pinecone or knowledge‑graph‑backed solutions.
• The ability to build secure, scalable solutions using Microsoft Azure, with familiarity in Docker, Kubernetes, and continuous integration and continuous delivery (CI/CD). Experience with Azure AI Studio, Azure Cognitive Search, and Azure Cosmos DB is preferred.
• Experience creating and maintaining LLM evaluation frameworks using tools such as Promptfoo, OpenAI Evals, or LangSmith.
• Experience building accessible internal applications with modern platforms such as Retool, Streamlit, or Gradio.
• The ability to lead discovery, quantify expected return on investment (ROI), define acceptance criteria, and explain complex technical concepts clearly to non-technical audiences.
• Experience working within security, privacy, and governance requirements for sensitive information, supported by sound judgment and attention to accuracy and quality.
• A practical, curious approach to problem‑solving, together with the ability to build trusted relationships, guide technical decisions, and support the development of other engineers.

Compensation

The base salary range below represents the low and high end of the salary range for this position in Chicago, New York. This range may differ based on your geographic location and cost of living considerations. At Kirkland & Ellis, we consider compensation more than just a base salary. We offer an exceptional range of flexible benefits including comprehensive healthcare, paid time off, and retirement. We also offer personal support and tailored learning and development opportunities all designed to help you realize your full potential both in life and at work.

Compensation Range

• Chicago: $176,000 - $242,000
• New York: $176,000 - $264,000

Equal Employment Opportunity

All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee’s race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law. #LI-Hybrid #LI-SM1