AI Engineer Co-Op: Build Next-Gen AI Platforms

Pittsburgh Tomorrow; Pennsylvania; On-site; USD 120,000 - 190,000; Full time

Job summary

MSA Safety is hiring an AI Engineer to design, build, and scale AI-enabled applications that power intelligent search, agentic workflows, and artifact generation. You will orchestrate LLMs, integrate with enterprise data, and deploy in the cloud, primarily on AWS.

Strong communication and rapid learning are essential as you partner with cross-functional teams across the business. The ideal candidate brings hands-on experience with Python, ML frameworks, and MLOps, plus a solid background in

Qualifications

• Working towards a Bachelor's / Master's Degree in AI Engineering, Data Science, Computer Science, Statistics, Mathematics, Engineering or related quantitative discipline
• Experience building AI-enabled applications, ideally involving agentic workflows, tool orchestration, and evaluation
• Experience with MLOps practices, including model deployment, monitoring, and evaluation in a cloud environment (AWS preferred)
• Proficiency in Python; TypeScript is a plus
• Working experience with at least one major ML framework (PyTorch or TensorFlow)
• Solid understanding of transformer-based models, including multimodal architectures, and familiarity with parameter-efficient fine-tuning (e.g., LoRA, QLoRA) and model optimization techniques (quantization, pruning, distillation)
• Understanding of how software works across the stack and in the cloud, including containers, serverless functions, databases, and observability/telemetry
• Strong software engineering fundamentals and a track record of clean, well-tested code
• Adaptability and a fast pace, with the curiosity to pick up new tools and frameworks as the AI landscape evolves
• Excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders

Responsibilities

• Design and build AI-enabled applications and services powering intelligent search, agentic workflows, and artifact generation
• Develop and orchestrate agentic systems, including tool use, multi-step reasoning, and evaluation loops grounded in real-world feedback
• Deploy, monitor, and continuously improve models and AI services on AWS
• Partner with stakeholders across MSA business functions to translate real needs into tools that drive productive use
• Contribute to architectural discussions and help drive technical decisions across the team
• Write clean, maintainable, well-documented code and uphold strong engineering practices (Git, code review, CI/CD, testing)

Skills

Python

TypeScript

Cloud development

MLOps

Communication

Team collaboration

Transformer models

Agentic workflows

Education

Bachelor's or Master's in AI/CS/Engineering

Tools

AWS

Bedrock

Bedrock AgentCore

Hugging Face

PyTorch

TensorFlow

SQL

Job description

MSA Safety is hiring an AI Engineer to design, build, and scale AI-enabled applications that power intelligent search, agentic workflows, and artifact generation. You will orchestrate LLMs, integrate with enterprise data, and deploy in the cloud, primarily on AWS.

Strong communication and rapid learning are essential as you partner with cross-functional teams across the business. The ideal candidate brings hands-on experience with Python, ML frameworks, and MLOps, plus a solid background in