AI Specialist - #2911

Wade Trim•Pittsburgh, PA

8d•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. Typical responsibilities include: 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

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)

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

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
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
Deploy AI systems to cloud environments (Azure preferred)
Monitor system performance, latency, and errors
Iterate solutions based on user feedback and real usage
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