AI Platform Engineer Co-Op: Build AI-Driven Workflows

MSA, The Safety Company; Cranberry Township (Butler County); Vor Ort; USD 100.000 - 150.000; Vollzeit

Zusammenfassung

MSA Safety is building an AI Platform to empower enterprise-wide use of data, from intelligent search to agentic workflows for task automation. As an AI Engineer, you design, build, and scale the systems behind this work across the stack, orchestrating LLMs and agents, and deploying in the cloud.

You’ll collaborate with stakeholders, adapt quickly in a fast-paced environment, and contribute to architecture and high-quality, well-tested code.

Qualifikationen

• Bachelor's or master's in AI engineering or related quantitative field (AI/CS/Math/Engineering).
• Experience building AI-enabled apps with agentic workflows and tool orchestration.
• MLOps experience including deployment, monitoring, and cloud-based evaluation (AWS preferred).
• Proficiency in Python; TypeScript a plus.
• Experience with ML frameworks such as PyTorch or TensorFlow.

Aufgaben

• Design and build AI-enabled applications and services powering intelligent search, agentic workflows, and artifact generation.
• Develop and orchestrate agentic systems with tool use and multi-step reasoning.
• Deploy, monitor, and continuously improve models and AI services on AWS.
• Partner with stakeholders across functions to translate needs into practical tools.
• Contribute to architectural decisions and drive technical direction across the team.
• Write clean, well-documented code and uphold CI/CD and testing practices.

Kenntnisse

Python

TypeScript

ML frameworks

Communication

Cloud computing

Ausbildung

Bachelor's/Master's in AI

Tools

PyTorch

TensorFlow

AWS

Hugging Face

Bedrock

Bedrock AgentCore

Kubernetes

Jobbeschreibung

MSA Safety is building an AI Platform to empower enterprise-wide use of data, from intelligent search to agentic workflows for task automation. As an AI Engineer, you design, build, and scale the systems behind this work across the stack, orchestrating LLMs and agents, and deploying in the cloud.

You’ll collaborate with stakeholders, adapt quickly in a fast-paced environment, and contribute to architecture and high-quality, well-tested code.