What are the responsibilities and job description for the AI Integration Engineer- Hybrid, Pittsburgh, PA position at A.C. Coy?
Overview
Location: Hybrid- Pittsburgh, PA
Job Type: Full Time/Permanent
Work Authorization: No Sponsorship
The A.C.Coy has an immediate need for a Full Stack/AI Integration Engineer for a full time opportunity.
Responsibilities
- Lead the development and delivery of company's generative AI platform
- Collaborate with cross-functional teams to ensure the successful implementation and adoption company-wide AI driven solutions
- 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
- 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
- Write detailed documentation for our AI systems, processes, and best practices to ensure clarity and facilitate knowledge sharing across the organization
Qualifications
Education: 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
