AI Specialist - #2911

Wade Trim • Pittsburgh, PA

9d • Hybrid

About The Position

We are looking for an AI Engineer to join our Information Technology Team in our Pittsburgh office. Candidates must have a Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Equivalent practical experience considered. Candidates must have 3+ years of relevant experience. Candidates must be proficient in Python, R, or similar programming languages. Candidates must have hands-on experience with machine learning algorithms, deep learning techniques, and AI systems. Candidates must also be self-motivated, work well with others, and have excellent writing, organizational, and communication skills. A flexible hybrid-remote work schedule is available after 30 days of employment.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (Equivalent practical experience considered)
• 3+ years of experience.
• Strong proficiency in Python
• Experience building and deploying AI-powered applications
• Hands-on experience with LLMs / GenAI systems
• Backend/API development experience (Fast API, Flask, or similar)
• Solid understanding of machine learning fundamentals
• Working knowledge of computer vision concepts (not research-level)
• Experience with cloud platforms (Azure, AWS, or GCP)
• Familiarity with Docker and production environments
• Experience working with document-based or visual data (PDFs, images) is a plus

Nice To Haves

• Experience with RAG frameworks (LangChain, LangGraph, LlamaIndex)
• Vector databases and embeddings
• Exposure to ML/CV workflows (OpenCV, PyTorch, TensorFlow)
• Basic frontend experience (React or similar)
• Experience building internal tools or platforms

Responsibilities

• AI Product & System Development (Primary Focus)
• Design, build, and maintain end-to-end AI-powered applications
• Apply GenAI, LLMs, and RAG pipelines to real-world engineering problems
• Integrate AI models into internal tools, platforms, and workflows
• Build and maintain backend services and APIs supporting AI functionality
• Ensure AI systems are reliable, performant, and usable in production
• ML / CV Collaboration & Application (Secondary Focus)
• Work with ML and CV models developed internally or externally
• Understand model inputs, outputs, limitations, and failure modes
• Assist with light model tuning, evaluation, or data preparation when needed
• Collaborate closely with research-focused AI engineers on model integration
• Deployment & Operations
• Deploy AI systems to cloud environments (Azure preferred)
• Monitor system performance, latency, and errors
• Iterate solutions based on user feedback and real usage
• Collaboration & Communication
• Work cross-functionally with AI researchers, full-stack engineers, and domain experts
• Communicate technical concepts clearly to non-AI stakeholders
• Document system designs, workflows, and operational guidelines
• Maintain a safe working environment

Benefits

• medical
• dental
• vision
• life insurance
• short and long-term disability coverage
• education reimbursement
• 401(k)
• performance bonuses
• employee stock program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level