AI Developer

Witherite Law Group•Dallas, TX

8h•Onsite

About The Position

The AI Developer is responsible for designing, developing, and maintaining software solutions that support key business functions. Working within one of application teams, this role collaborates closely with stakeholders, project managers, business analysts, and other developers to deliver high-quality, scalable applications that meet evolving business needs.

Requirements

Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience)
2+ years of experience in application development or software engineering
Proficiency in one or more programming languages (e.g., JavaScript, Python, C#, etc.)
Experience with databases, APIs, and integration tools
Familiarity with agile development methodologies
Proficiency in Python, with experience in automation scripting, data parsing, and task orchestration
Strong experience with Microsoft Azure (e.g., Logic Apps, Functions)
Demonstrated ability to design, build, and interact with APIs (RESTful services, JSON handling, authentication flows)
Familiarity with version control (Git), CI/CD pipelines, and basic DevOps concepts
Clear written and verbal communication skills; ability to work with both technical and non-technical staff

Nice To Haves

Experience with automation frameworks, workflow tools, or RPA (Robotic Process Automation) tools is a plus
Experience in legal tech or within a law firm environment
Familiarity with case management platforms such as Filevine, Litify, and Clio
Knowledge of data privacy laws and best practices around PII/PHI handling
Exposure to database technologies (SQL, DynamoDB, etc.) and data warehouses

Responsibilities

Develop, test, and deploy application features and enhancements in alignment with business requirements.
Collaborate with stakeholders to identify use cases and deliver scalable, secure AI-driven solutions.
Collaborate with Product Owners and team members to understand user needs and translate them into technical solutions.
Maintain and improve existing applications, ensuring performance, reliability, and security.
Participate in code reviews, sprint planning, and agile ceremonies.
Troubleshoot and resolve application issues in a timely manner.
Document technical specifications, processes, and configurations.
Stay current with emerging technologies and recommend improvements to tools and practices.
Design, build, and maintain Python-based automation scripts and tools.
Architect and implement cloud-based workflows using Azure, or equivalent platforms.
Develop and consume RESTful APIs to integrate enterprise systems.
Provide support and enhancements to existing automations and troubleshoot production issues as needed.