Generative AI Engineer
We are looking for a Generative AI Engineer to join the Tax & Legal Digit@l Asset Factory. In this role, you will help design, build, and scale innovative generative AI solutions that improve efficiency, enhance user experience, and support a globally consistent digital offering across the Tax & Legal practice. You will work at the intersection of AI, cloud, and engineering, helping translate emerging technologies into practical business solutions. This is a strong fit for someone who enjoys hands-on development, problem-solving, and working in a fast-moving, collaborative environment.
Work you'll do
As a Generative AI Engineer on the Tax & Legal Digit@l Asset Factory team, you will be responsible for designing, building, and scaling generative AI solutions that support business priorities and enhance digital offerings across the practice.
- Design, develop, test, and deploy generative AI solutions for Tax & Legal use cases.
- Build and maintain applications using Python and generative AI frameworks, including LangChain and/or LlamaIndex.
- Integrate large language model solutions with internal and external platforms through REST application programming interfaces.
- Support the evaluation, monitoring, and observability of AI solutions using tools such as Arize Phoenix, LangSmith, or similar platforms.
- Collaborate with product, engineering, and business stakeholders to translate functional requirements into scalable technical solutions.
- Contribute to cloud deployment, solution architecture, documentation, testing, version control, and continuous integration and continuous deployment practices.
The team
The Tax & Legal Digit@l Asset Factory develops and scales digital solutions that support consistent, high-quality offerings across the Tax & Legal practice. The team brings together business, product, engineering, and technology capabilities to turn emerging technologies into practical tools that improve efficiency, enable innovation, and enhance user experience.
Qualifications
Required:
- Experience developing applications in Python.
- Experience using LangChain and/or LlamaIndex.
- Experience building or integrating REST application programming interfaces.
- Experience working with cloud platforms, preferably Microsoft Azure.
- Experience with source control tools, including Git.
- Experience with testing, continuous integration, and continuous deployment practices.
- Experience supporting AI solution evaluation, monitoring, or observability.
Preferred:
- Experience with observability and evaluation tools such as Arize Phoenix or LangSmith.
- Experience with Docker or other containerization tools.
- Experience working in Agile Scrum delivery environments.
- Experience applying security and compliance practices in enterprise environments.
- Experience collaborating with cross-functional product, engineering, and business stakeholders.
- Exposure to generative AI, data engineering, or large language model-based solutions in production or pilot environments.