Application Engineer Senior (7+ Years)

Digipulse Technologies, Inc; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Digipulse Technologies, Inc. seeks an AI Engineer to design, test, optimize, and support AI-powered agent experiences across customer and internal workflows.

This role blends prompt engineering, agent orchestration, QA, evaluation framework development, and AI observability. The ideal candidate is curious, analytical, and hands-on, with experience working with LLMs, prompt design, testing methodologies, and modern software development practices.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• 5-10 years of experience in software engineering, QA engineering, automation testing, business systems analysis, or related technical roles.
• 1 years of hands-on experience with Generative AI, LLMs, prompt engineering, or conversational AI solutions.
• Experience working with Azure DevOps or similar Agile delivery platforms.
• Experience designing and executing structured test plans.
• Strong analytical and troubleshooting skills.
• Experience working with APIs and JSON data structures.
• Excellent written and verbal communication skills.

Skills

Analytical thinking

Troubleshooting

Communication

Education

Bachelor's degree in CS/Engineering/IS or related field

Tools

Python

SQL

REST APIs

JSON

Test Automation Frameworks

Git

Azure DevOps

Azure OpenAI

Arize AI

Postman

Jira

Power BI

Job description

Application Engineer Senior (7 Years)

Location-Remote

AI Engineer (Generative AI & Agent Quality) along with Salesforce AI and Agent force. Data cloud etc

Position Summary

We are seeking an AI Engineer to help design, test, optimize, and support AI-powered agent experiences across customer and internal business workflows. This role combines prompt engineering, agent orchestration, quality assurance, evaluation framework development, and AI observability.

The ideal candidate is curious, analytical, and hands-on, with experience working with Large Language Models (LLMs), prompt design, testing methodologies, and modern software development practices. You will partner closely with product managers, software engineers, architects, and business stakeholders to improve agent behavior, reliability, accuracy, and user experience.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• 5-10 years of experience in software engineering, QA engineering, automation testing, business systems analysis, or related technical roles.
• 1 years of hands-on experience with Generative AI, LLMs, prompt engineering, or conversational AI solutions.
• Experience working with Azure DevOps or similar Agile delivery platforms.
• Experience designing and executing structured test plans.
• Strong analytical and troubleshooting skills.
• Experience working with APIs and JSON data structures.
• Excellent written and verbal communication skills.

Technical Skills

AI & GenAI

• Prompt Engineering

• Agent Design

• AI Evaluation Frameworks

• RAG Concepts

• LLM Testing

• AI Quality Assurance

• AI Observability

• Prompt Optimization

Tools

• Arize AI

• Azure DevOps

• Azure OpenAI

• Git

• Postman

• Jira (optional)

• Power BI (optional)

Development

• Python

• SQL

• REST APIs

• JSON

• Test Automation Frameworks