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Edmund Optics

Supplies precision optics and optical components

AI Applications Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBarrington, NJ, USA$91k - $120k /yrIn-person

About the Job

Requirements

  • Demonstrated initiative and follow-through, moving work forward without every task being assigned and exercising judgment about when to clarify or escalate.
  • Experience building a working AI application that uses external tools or APIs, and ability to explain personal contributions, tool-call execution, and how results and failures are checked.
  • Ability to write, explain, debug, and test software in at least one relevant programming language.
  • Working knowledge of APIs, data structures, databases, and version control.
  • Working knowledge of agent tool/function calling, structured outputs, retrieval and context management, and agent orchestration, including how MCP clients and servers connect AI applications to tools and data.
  • Ability to understand business workflows and explain technical choices to non-technical stakeholders.
  • Demonstrated habit of learning and experimenting with emerging AI capabilities, applying feedback, and explaining what a new approach improves and where it falls short.
  • U.S. citizenship or permanent residence is required.
  • Ability to comply with federal, state, and company policies, procedures, and regulations.
  • Bachelor's degree in Computer Science or a related field. Early-career candidates are welcome; relevant AI application experience may come from employment, internships, research, coursework, or independent projects, and no minimum years of professional experience is required.
  • Ability to operate office equipment such as a copier, see details at close range, sit at a desk or PC for long periods, and work in an office setting.

Responsibilities

  • Build applications that connect AI models with APIs, business data, and tools, including Model Context Protocol (MCP) servers and multi-step agent workflows; write, debug, test, and maintain application code and integrations, selecting an appropriate AI, analytical, or conventional software approach for each problem.
  • Meet with business stakeholders to understand workflows, clarify requirements, and agree on practical measures of success.
  • Identify useful next steps, build small working versions, and improve them through rapid testing and feedback.
  • Evaluate application behavior and AI outputs, including missing information, incorrect answers, tool failures, and cases requiring human review.
  • Collaborate with IT, analytics, cybersecurity, continuous improvement, and business owners to deploy and support reliable applications within company policies and AI governance.
  • Surface blockers with possible next steps, communicate progress, document decisions, and address issues after launch.
  • Measure business results and improve solutions over time; initial work may include customer documentation workflows and demand forecasting applications.
  • Stay current on advances in AI models, agent frameworks, tool integrations, and development practices; test promising capabilities in small prototypes and recommend adoption based on usefulness, reliability, cost, and maintainability.

Desired Qualifications

  • Experience with production deployment, monitoring, SQL, or business system integrations.
  • Hands-on experience building or integrating MCP servers or evaluating agent workflows.
  • Experience with forecasting or other applied data methods.
  • Experience with AI data platforms, especially Snowflake.
  • Exposure to optics, photonics, precision manufacturing, or a related technical industry.
  • Experience with cloud platforms, especially Microsoft Azure, including Azure OpenAI, Azure AI Foundry, or Azure Functions.

About the Company

Edmund Optics

Supplies precision optics and optical components

Edmund Optics designs and manufactures precision optics and optical components, including multi-element lenses, lens coatings, imaging systems, and optomechanical equipment. These products are used to build and improve imaging and measurement systems across industries such as industrial metrology, semiconductor manufacturing, and life sciences. The company achieves this by leveraging in-house optical engineers and scientists to design, optimize, and fabricate components, then delivering them worldwide for diverse applications. The key difference from competitors is its long track record (since 1942), application-focused approach, and broad, integrated product line with in-house design and manufacturing capabilities supported by a global presence. The company’s goal is to enable advancements in optical technology by providing reliable, high-quality optical solutions that help customers develop and improve imaging, measurement, and instrumentation across sectors.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Barrington, IL
Founded
1942

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