AI Engineer
Location: Pittsburgh, PA
Must Have Technical/Functional Skills:
Programming Languages: Strong proficiency in Python or JavaScript. Experience with frameworks like LangChain, LlamaIndex, or CrewAI.
ML & Data Tools: Solid understanding of vector databases, embeddings, and data pipelines.
Cloud Platforms: Familiarity with deploying applications and microservices on AWS, Google Cloud Platform (GCP), or Microsoft Azure.
Problem-Solving: Strong analytical skills with the ability to translate complex business requirements into effective AI-driven technical solutions
Roles & Responsibilities:
System Integration: Integrate pre-trained AI models, LLMs, and computer vision tools into existing company software and legacy codebases.
Prompt & Pipeline Design: Develop, optimize, and evaluate prompt strategies, embedding models, and Retrieval-Augmented Generation (RAG) systems to improve response accuracy.
Infrastructure Management: Handle context windows, API latency, token costs, and API guardrails to build reliable production applications.
Model Deployment: Transform prototypes from data scientists into scalable APIs that integrate seamlessly with other applications.
Performance Monitoring: Continuously monitor, troubleshoot, and debug AI system performance based on evolving business needs and user feedback.