AI Integration Engineer- Hybrid, Pittsburgh, PA

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