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Application Engineer Modeling Jobs (NOW HIRING)

DeSHAZO LLC

Application Engineer

Huntsville, AL · On-site

... of 3D models to convey the concept to the end customer. Deshazo Automation primarily uses ... Application Engineers use Excel to tabulate and summarize cost data for materials and labor ...

Deshazo LLC

Application Engineer

Huntsville, AL · On-site

... of 3D models to convey the concept to the end customer. Deshazo Automation primarily uses ... Application Engineers use Excel to tabulate and summarize cost data for materials and labor ...

DeSHAZO LLC

Application Engineer

Huntsville, AL · On-site

... of 3D models to convey the concept to the end customer. Deshazo Automation primarily uses ... Application Engineers use Excel to tabulate and summarize cost data for materials and labor ...

Swagelok Alaska

Application Engineer

Portland, OR · On-site

Join Swagelok Northwest as an Application Engineer and play a critical role in helping customers ... Convert a P&ID to 3D models and 2D assembly drawings using the SolidWorks application * Generate ...

Regal Rexnord

Application Engineer

West Chester, PA

Work Model: Work Model: You'll work in a hybrid model, onsite at your designated Regal Rexnord ... Portescap (a Regal Rexnord brand) is seeking an Application Engineer to serve as the technical ...

GRVTY

Application Engineer

Fort George G Meade, MD · On-site

$186K - $196K/yr

... to a new model that emphasizes automation, streamlined processes and approvals, continuous ... The Application Engineer (UI) will provide the development, testing, deploying, and sustainment of ...

Duke Manufacturing

Application Engineer

Sedalia, MO · On-site

Duke Manufacturing is looking for an Application Engineer to join our Engineering team in Sedalia ... Maintain scalable cost models. 3. Project Management & Cross-Functional Leadership * Serve as ...

Prodigy One, LLC

Application Engineer

Linthicum, MD · On-site

$279K/yr

We are looking for a Application Engineer to join our team, performing API development for our ... Micro service model experience * Desired skills: * Experience with AWS, C2S or other cloud ...

Duke

Application Engineer

Sedalia, MO · On-site

Duke Manufacturing is looking for an Application Engineer to join our Engineering team in Sedalia ... Maintain scalable cost models. 3. Project Management & Cross-Functional Leadership * Serve as ...

Mind Robotics Inc.

Application Engineer

Palo Alto, CA · On-site

As an Application Engineer, you'll be one of the founding engineers on the team that owns this ... Streamline annotation methods/models to increase labelling efficiency * Make deployment repeatable ...

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Application Engineer Modeling information

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$50.5K

$110.7K

$152K

How much do application engineer modeling jobs pay per year?

As of Sep 15, 2026, the average yearly pay for application engineer modeling in the United States is $110,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $135,000.00 per year, depending on experience, location, and employer.

What is an application engineer modeling?

Application Engineer Modeling jobs involve designing, developing, and implementing mathematical or computer models to simulate systems, processes, or products. These professionals work closely with clients or internal teams to translate engineering requirements into actionable models, often using specialized software tools. Their role is to optimize performance, predict outcomes, and troubleshoot potential issues before physical implementation. Application Engineer Modelers are frequently found in industries such as automotive, electronics, energy, and manufacturing, where simulation and analysis are crucial for product development and decision-making.

How does an application engineer modeling typically collaborate with product development teams?

As an Application Engineer Modeling, you’ll frequently work alongside product development teams to translate real-world requirements into precise models and simulations. This role involves close coordination with design engineers to ensure that modeling outcomes inform key design decisions and meet client specifications. Regular meetings, design reviews, and iterative feedback loops are common, making strong communication and teamwork skills essential. Your contributions often help streamline the product development cycle and improve overall product quality.

What are the key skills and qualifications needed to thrive as an application engineer modeling, and why are they important?

To thrive as an Application Engineer Modeling, you need a solid background in engineering, mathematics, and computer science, typically supported by a relevant degree and experience in simulation or modeling. Familiarity with tools such as MATLAB, Simulink, Python, and CAD/CAE software, as well as certifications in these platforms, is highly beneficial. Strong problem-solving abilities, effective communication, and teamwork help differentiate top performers in this role. These skills and qualities are crucial for accurately modeling complex systems, collaborating with clients and internal teams, and delivering innovative engineering solutions.

What are popular job titles related to Application Engineer Modeling jobs?

For Application Engineer Modeling jobs, the most frequently searched job titles are:

AI Application engineer

Santa Clarita, CA • On-site

Inficare Technologies
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Inficare Technologiesexternal

Full-time

Re-posted 10 days ago

Job description

Role - AI Application engineer
Location - Santa Clara, CA (Onsite)
Duration - 12+ months
Need candidate to Prepare , Complete Coding assessment
AI Application engineer who understands data as well as application ; primary databricks and secondary snowflake
Description
Key Responsibilities
  • Design and develop AI-powered applications using machine learning, generative AI, and data-driven services.
  • Integrate ML models, LLMs, and AI services into web, mobile, and enterprise applications.
  • Build production-grade APIs and microservices to serve AI predictions and insights.
  • Collaborate with data scientists and ML engineers to operationalize models.
  • Implement prompt engineering, model orchestration, and inference pipelines.
  • Ensure performance, scalability, security, and reliability of AI applications.
  • Work on real-time and batch AI inference use cases.
  • Implement observability and monitoring for AI behavior and application health.
  • Handle model versioning, rollback strategies, and A/B testing.
  • Ensure compliance with data privacy, responsible AI, and governance standards.
  • Participate in architecture reviews and contribute to AI application best practices.
  • Troubleshoot application and inference issues in production environments.
  • Mentor junior developers and contribute to technical documentation.

Required Skills & Qualifications
Application Development
  • 5-6 years of experience in application development or software engineering.
  • Strong proficiency in Python and/or JavaScript/TypeScript.
  • Experience with backend frameworks (FastAPI, Flask, Django, Node.js).
  • Strong understanding of REST APIs, microservices, and system design.
  • Experience with frontend frameworks is a plus (React, Angular, Vue).

AI & Machine Learning
  • Hands-on experience integrating ML models and AI services into applications.
  • Understanding of ML lifecycle, inference patterns, and model usage.
  • Experience with Generative AI / LLMs (OpenAI, Azure OpenAI, AWS Bedrock, Hugging Face).
  • Knowledge of prompt engineering, context management, and RAG (Retrieval-Augmented Generation).
  • Familiarity with embeddings and vector search.

Data & Backend Integration
  • Strong SQL skills and experience with databases (relational & NoSQL).
  • Experience integrating with data pipelines, feature stores, and analytics systems.
  • Knowledge of APIs, caching layers, and messaging systems (Kafka, RabbitMQ).

Cloud & DevOps
  • Hands-on experience with cloud platforms (AWS / Azure / GCP).
  • Experience deploying AI applications using Docker & Kubernetes.
  • Familiarity with CI/CD pipelines.
  • Experience with cloud-native AI services is a plus.

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