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Software Engineer - AI/ML

AMETEK
Mount Prospect, USA
Junior · 2+ years experience
Onsite
Discovered Today
awsazuredatabricks

Full Job Posting

Key Responsibilities:

  • Solution Development
  • Develop, test, and deploy AI-powered software applications, including LLM-based tools, copilots, and automation solutions
  • Develop and integrate APIs, services, and data pipelines that support AI functionality
  • Contribute to identifying and prototyping high-value AI use cases in partnership with business, engineering, and lab-services stakeholders
  • Translate defined requirements from product managers and engineering leadership into working solutions
  • Develop reliable, maintainable, and scalable software following team standards and established architectural guidelines
  • Deployment & MLOps
  • Support the deployment and maintenance of AI/ML applications in production environments
  • Implement and maintain monitoring, evaluation, and logging mechanisms for AI systems
  • Contribute to CI/CD pipelines and model/application lifecycle management
  • Support debugging, performance optimization, and system reliability
  • Collaboration & Process
  • Work closely with the software engineering team, product stakeholders, and cross-functional partners
  • Collaborate with the Software Engineering Manager and team on system design and implementation approaches
  • Participate in sprint planning, code reviews, and agile development processes
  • Communicate progress, risks, and technical trade-offs clearly to the Software Engineering Manager and project stakeholders
  • Compliance & Quality
  • Follow established standards for security, privacy, and responsible AI usage
  • Support software validation, testing, and documentation per company processes (QMS where applicable)
  • Ensure compliance with internal development and deployment policies
  • Perform other duties as assigned

Requirements:

  • Education
  • Bachelor’s degree in Computer Science, Software Engineering, Data Science, Data Engineering, Electrical/Computer Engineering, or related field required
  • Master’s degree preferred (AI/ML, Computer Science, Software Engineering, or related)
  • Experience
  • 2+ years in software engineering, architecture, or applied data/ML engineering roles, with experience delivering AI/ML solutions (model development and/or LLM/RAG applications) into production environments
  • Hands-on capability designing and building AI-powered applications, including rapid prototyping through production deployment
  • Practical experience with the AI/ML lifecycle: data pipelines, evaluation, deployment, monitoring, maintenance, and MLOps
  • Technical Skills
  • Experience with LLM-based applications (prompting patterns, tool/function calling, RAG, embeddings/vector databases, guardrails, and evaluation techniques)
  • Experience with cloud platforms (Azure or AWS), APIs/microservices, CI/CD pipelines, and secure deployment practices
  • Strong software design and modular development skills; ability to contribute to scalable, maintainable architectures and follow established engineering standards
  • Working knowledge of data security, privacy, and responsible AI practices (access control, governance, auditability)
  • Familiarity with software verification/validation, risk-based testing, and quality management practices in regulated or quality-managed environments
  • Demonstrated ability and willingness to use AI tools to improve productivity, decision-marking, work quality, and to reduce costs. The successful candidate must be able to identify appropriate AI use cases and critically evaluate AI-generated outputs.
  • Professional Skills
  • Able to complete assigned work with appropriate guidance while contributing effectively as a team player in a fast-paced, deadline-driven environment
  • Strong interpersonal and communication skills; able to collaborate effectively across engineering and cross-functional teams and contribute to technical documentation and design discussions
  • Strong prioritization and organizational skills; able to manage multiple tasks and deliver high-quality results
  • Preferred / Nice-to-Have
  • Relevant certifications: Azure AI Engineer, AWS ML Specialty, Databricks, or equivalent
  • Understanding of embedded ML applications

Preferred Qualifications

  • Master’s degree preferred (AI/ML, Computer Science, Software Engineering, or related)
  • Preferred / Nice-to-Have

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