Developer – AI Engineering

Aylstock, Witkin, Kreis & Overholtz, PLC is a law firm leveraging technology, artificial intelligence, and automation to improve legal and business operations. The Developer – AI Engineering will design, develop, integrate, and maintain AI-powered applications, software solutions, APIs, and automations while collaborating with attorneys, operations, IT, and business teams to improve workflows, efficiency, security, and client service.

Responsibilities:

• Design, develop, test, deploy, and maintain AI-enabled applications, tools, and internal systems
• Build solutions using generative AI and large language models, including commercially available and open-source models
• Develop AI agents and agentic workflows capable of performing multi-step business processes using approved tools and data sources
• Implement techniques such as retrieval-augmented generation (RAG), structured outputs, tool/function calling, prompt engineering, embeddings, and semantic search
• Develop reusable AI services, APIs, integrations, and application components
• Evaluate AI models and platforms based on accuracy, reliability, security, performance, scalability, and cost
• Build evaluation and testing frameworks to measure AI output quality and identify regressions, hallucinations, or other performance issues
• Monitor AI applications in production and continuously improve their reliability and effectiveness
• Develop and maintain web applications, backend services, APIs, scripts, and automation solutions
• Integrate AI capabilities with existing business applications, databases, document repositories, communication platforms, and third-party systems
• Design reliable workflows for moving structured and unstructured information between systems
• Write clean, maintainable, well-documented, and testable code
• Troubleshoot application, integration, data, and performance issues
• Participate in code reviews and maintain appropriate source-control and software-development practices
• Support deployment, monitoring, logging, versioning, and ongoing maintenance of internally developed applications
• Partner with departments to identify repetitive, manual, or high-volume processes that can be improved through software, automation, or AI
• Translate business requirements into technical specifications and working solutions
• Develop prototypes and proof-of-concept applications to evaluate new ideas quickly
• Automate document review, information extraction, classification, summarization, routing, research, reporting, and other appropriate business processes
• Measure the effectiveness of implemented solutions, including time savings, accuracy, adoption, cost, and business impact
• Recommend when traditional software or automation is more appropriate than an AI-based solution
• Ensure AI applications comply with organizational requirements for confidentiality, cybersecurity, privacy, and data governance
• Design solutions that appropriately protect confidential, proprietary, employee, and client information
• Implement access controls, logging, monitoring, validation, and human-review mechanisms where appropriate
• Minimize unnecessary exposure of sensitive information to third-party AI platforms
• Help establish technical standards and best practices for the responsible use of AI
• Identify potential risks involving hallucinations, bias, prompt injection, data leakage, unauthorized access, or inappropriate automation and implement appropriate safeguards
• Maintain documentation regarding AI systems, data sources, integrations, permissions, and operational dependencies
• Deliver reliable AI and software solutions that solve meaningful business problems
• Reduce manual work and improve operational efficiency
• Develop applications that employees can easily adopt and use
• Maintain appropriate levels of accuracy, security, and reliability
• Move successful prototypes into stable production solutions
• Demonstrate measurable business value from AI initiatives
• Maintain clear documentation and sustainable development practices
• Keep the organization informed about emerging AI capabilities, risks, and opportunities