AI Engineer

MSA, The Safety Company$110K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in AI Engineering, Data Science, Computer Science, Statistics, Mathematics, Engineering or related quantitative discipline
  • Experience building AI-enabled applications with emphasis on tool orchestration and evaluation
  • Familiarity with MLOps practices for deployment and monitoring in AWS
  • Proficiency in Python; TypeScript knowledge is an advantage
  • Experience with major ML frameworks like PyTorch or TensorFlow
  • Strong understanding of transformer-based models and optimization techniques
  • Solid software engineering fundamentals and clean coding practices

Responsibilities

  • Design and build AI-enabled applications for intelligent search and workflows
  • Develop and orchestrate systems for multi-step reasoning and evaluation
  • Deploy, monitor, and improve AI services on AWS
  • Collaborate with stakeholders to create tools that address real business needs
  • Contribute to architectural discussions and drive technical decision-making
  • Write clean, maintainable code while upholding engineering best practices

Benefits

  • Opportunity to work in a fast-paced, innovative environment
  • Collaborative culture with cross-functional teams
  • Focus on continuous learning and picking up new tools
  • Emphasis on clean coding and engineering excellence
  • Involvement in architectural decision-making and technical direction
Full Job Description
Overview

Responsibilities

About the Role:

We're building an AI Platform that empowers users across business functions to connect with enterprise data and accomplish everything from intelligent search to agentic workflows for task automation and artifact generation. The platform is accelerating business processes and shaping new ways we serve and innovate for our customers, with growing use cases across frontline support, NPD engineering, and business development.

As an AI Engineer on this team, you'll help design, build, and scale the systems behind this work. You'll work across the stack: orchestrating LLMs and agents, integrating with enterprise data sources, deploying in the cloud, and iterating based on how real users actually use what we build.

We move fast, and we're looking for someone who thrives in that environment: adaptable, quick to learn, and an excellent communicator who can turn ambiguity into clear direction and shipped work.

What You'll Do:
  • 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)

Qualifications

This position is posted at multiple levels:
  • Level I: 0-1 years of experience
  • Level II: 1-3 years of experience
  • Senior: 3-5 years of experience

Required Education and Experience:
  • Bachelor'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

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, as well as agent SDKs like Strands
  • Experience working 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

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About MSA, The Safety Company

MSA, The Safety Company Careers

Join the dedicated team at MSA, The Safety Company, a global leader in the development, manufacture, and supply of safety products that protect people and facility infrastructures. MSA is recognized for its commitment to innovation, quality, and service.

Explore Job Opportunities

MSA, The Safety Company offers a variety of job opportunities that cater to a range of skills and professional interests. Each position at MSA is designed to contribute significantly to the safety and protection of lives at work and beyond.

Professional Growth and Employment Benefits

MSA, The Safety Company is committed to the professional growth of its team members. The company supports career advancement through leadership training programs, diversity initiatives, and continuous learning opportunities. Employment at MSA comes with competitive benefits, fostering a culture that values health, well-being, and job satisfaction.

Internship Programs

For those starting their careers, internships at MSA provide invaluable industry experience and a chance to develop essential skills in a real-world setting. Interns at MSA, The Safety Company work on projects that matter, gaining knowledge and expertise that are crucial for future employment.

Innovation and Leadership

At MSA, innovation is at the core of everything they do. The team is encouraged to lead with creativity and embrace new ideas that drive the industry forward. MSA’s leadership is deeply involved in ensuring that every team member has the resources and support needed to innovate.

Culture of Diversity and Inclusion

The culture at MSA, The Safety Company is built on a foundation of diversity and inclusion. Every team member’s unique background and perspective are valued, contributing to a richer, more creative, and productive work environment.

Networking and Career Development

MSA, The Safety Company encourages its employees to engage in professional networking and career development activities. These opportunities enhance their skills and connect them with professionals across the industry, opening doors to new career possibilities.

Hiring Process

The hiring process at MSA, The Safety Company is thorough, ensuring that both the company and its potential employees are a perfect match. Candidates who submit their resume and pass the initial screening will be invited for an interview to discuss their experiences and career aspirations.

Join the Team

MSA, The Safety Company is looking for passionate, curious, and innovative individuals to join their team. Explore open positions that match your skills and interests on the MSA Careers page. Discover how your expertise can contribute to a safer world.

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