Why This Role Stands Out
This hybrid role offers significant growth potential as you design and implement cutting-edge AI applications that directly impact client workflows within a reputable professional services firm. You'll thrive here if you possess strong full-stack engineering skills and hands-on generative AI experience, eager to collaborate with a dynamic team. Apply now to leverage your expertise in large language models and cloud services.
Quick Overview
Job Description
Our professional services client is seeking an AI Applications Engineer to design, develop, and implement AI-powered applications that enhance workflows and deliver value to their clients. This role will work closely with the AI Engineering team and client stakeholders to translate complex legal and business needs into secure, reliable, and scalable AI solutions.
The ideal candidate combines strong full-stack engineering skills with hands-on experience developing generative AI applications. They will be comfortable working with large language models, retrieval-augmented generation (RAG), cloud services, and sensitive data in a fast-paced, professional services environment.
Key Responsibilities
- Design, develop, test, deploy, and maintain AI-driven web applications using JavaScript, .NET, and Python, with a focus on performance, scalability, and maintainability.
- Develop and optimize prompts, context management strategies, and model outputs for large language model applications, primarily using Claude and Claude Code.
- Integrate Anthropic Claude, Azure AI Foundry, and other model APIs and RESTful services into firm applications in accordance with firm and industry standards.
- Apply RAG and related techniques to improve the accuracy, reliability, and usefulness of AI-generated outputs.
- Build and support internal data-driven tools, dashboards, and the underlying integrations with Azure SQL, Microsoft Graph/Microsoft 365, and on-premises data sources.
- Implement sound security practices across applications, APIs, and data flows, including the secure handling of sensitive data, such as PHI, PII, and controlled unclassified information.
- Use Git and collaborative development practices to support code quality, version control, and effective team delivery.
- Deploy, monitor, and maintain applications hosted on Azure App Services and on-premises servers.
- Partner with attorneys, legal professionals, and business stakeholders to understand needs, define technical requirements, and deliver practical solutions.
- Provide training and ongoing support to staff on the effective use of AI applications.
- Create and maintain clear technical and user-facing documentation.
- Stay current on advances in LLMs, web technologies, AI security, and related development practices.
Qualifications
- Four-year degree in Computer Science, Information Systems, or a related field preferred; equivalent experience will be considered.
- Prior experience in a legal or professional service environment is a plus.
- Minimum of three (3) years of web application development using JavaScript, .NET, and Python.
- Minimum of three (3) years of full-stack application development or application system analysis.
- Hands-on experience building LLM / GenAI applications, including RAG, prompt engineering, and agents / tool use, with Claude, Claude Code, ChatGPT Codex, and/or Azure AI Foundry.
- Strong understanding of RAG architecture and prompt engineering techniques.
- Experience with Azure cloud services (App Service, SQL, Service Bus, Entra/AD) and on-premises deployment; Microsoft Graph a plus.
- Strong analytical troubleshooting skills across multiple technical disciplines and areas.
- Proficiency with Git and collaborative development practices.
- Ability to identify practical solutions to complex problems, introducing new technology or refining existing solutions as needed.
- Ability to communicate complex technical information clearly to non-technical, attorney-facing audiences.
- Outstanding customer service, written, and verbal communication skills with stakeholders at all levels.
- Strong personal initiative, judgment, and professionalism.
- High level of confidentiality and discretion.
- Detail-oriented, with strong organizational and time-management skills, and comfortable handling multiple tasks in a fast-paced environment.
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