AI Engineer

MSA Safety is building an AI Platform and is hiring an AI Engineer to design, build, and scale AI-enabled applications in a hybrid role based in Cranberry Township, PA. You will help turn real business needs into practical AI tools by orchestrating LLMs and agentic workflows, integrating enterprise data, and deploying models on AWS with a focus on continuous improvement.

What you’ll build and improve

• Design and develop AI-enabled applications and services for intelligent search, agentic workflows, and artifact generation
• Develop and orchestrate agentic systems that include tool use, multi-step reasoning, and evaluation loops informed by real-world feedback
• Deploy, monitor, and continuously improve models and AI services on AWS
• Partner with stakeholders across MSA business functions to translate requirements into tools that support productive usage
• Participate in architectural discussions and help guide technical decisions
• Write clean, maintainable, well-documented code and uphold engineering best practices including Git, code review, CI/CD, and testing

Core qualifications

• Bachelor’s Degree in AI Engineering, Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline
• Experience building AI-enabled applications, ideally including agentic workflows, tool orchestration, and evaluation
• MLOps experience, 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, plus familiarity with parameter-efficient fine-tuning (e.g., LoRA, QLoRA) and model optimization (quantization, pruning, distillation)
• Understanding of end-to-end software in the cloud, including containers, serverless functions, databases, and observability/telemetry
• Strong software engineering fundamentals and experience delivering clean, well-tested code
• Ability to adapt and keep pace with new tools and frameworks as the AI landscape evolves
• Excellent communication skills, including translating complex technical concepts for both technical and non-technical stakeholders

Tools and experience that are a fit

• Python, TypeScript, PyTorch, TensorFlow
• LoRA, QLoRA, quantization, pruning, distillation
• AWS, containers, serverless functions, databases, observability/telemetry
• Git, CI/CD, Hugging Face, AWS Bedrock, Bedrock AgentCore
• Strands, SAP, Salesforce, SQL, ETL
• Vision Transformers, CNNs

Levels

• Level I: 0-1 years of experience
• Level II: 1-3 years of experience
• Senior: 3-5 years of experience

Preferred education and experience

• Master’s Degree
• Experience working with open-source models via Hugging Face and managed services such as AWS Bedrock and Bedrock AgentCore, plus agent SDKs like Strands
• Experience with enterprise ERP and CRM systems such as SAP and Salesforce
• Experience in an agile development environment
• Experience with Vision Transformers and/or CNNs
• Familiarity with SQL, ETL, and working with large datasets