What are the responsibilities and job description for the AI Integration Engineer position at CGT Staffing?
Job Details
AI Integration Engineer Fulltime Hybrid Onsite
Essential Duties and Responsibilities:
- Lead the development and delivery of Buchanan Artifex, the firm s generative AI platform.
- Collaborate with cross-functional teams to ensure the successful implementation and adoption of AI driven solutions across the firm.
- Develop optimized scalable vector databases to support return augmented generation in AI.
- Develop tools that interface with and processes output from cloud APIs.
- Design and implement AI safety controls at the web application and API layer working closely with security.
- Design and build fault-tolerant scalable infrastructure to support long-running large-scale AI tasks reliably despite failure of individual nodes.
- Design and build infrastructure for serving large AI models such as LLMs in our private cloud environment.
- Develop and maintain project plans, timelines, and budgets
- Stay up to date with industry trends and best practices in digital adoption platforms and AI technology.
- Mentoring junior engineers by providing insights and best practices in AI software development and integration, promoting a culture of continuous learning and professional development.
- Write detailed documentation for our AI systems, processes, and best practices to ensure clarity and facilitate knowledge sharing across the organization.
Required Education/Experience:
- Bachelor s degree in Computer Science, Computer Engineering, or other technical field.
- Minimum of five (5) years of recent experience designing and building web, automation and/or AI solutions to address business needs.
- Strong knowledge of generative AI principles and AI prompt structure.
- Firm understanding of UX principles and web design programming languages; HTML, CSS, Node JS, React, JavaScript and/or TypeScript, Python, Perl, etc.
- Experience following Agile software development methodologies (e.g. Scrum, Kanban).
- Ability to effectively manage, maintain and scale Docker containers and Linux hosts.
- Ability to use Azure DevOps Repos for source control and deployment of all code projects.
- Ability to understand technical possibilities and limitations of AI platforms and to explain complicated technical concepts to non-technical audiences.
- Experience working in a deadline-driven environment and multitask/prioritize a workload of competing priorities.
- Experience collaborating cross-functionally to create alignment and support; ability to independently manage several projects simultaneously and operate under tight deadlines; background in organizational change management is a plus
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