AI Application Engineer

GTN Technical Staffing; Frisco (TX); Hybrid; USD 95,000 - 145,000; Full time

Job summary

GTN Technical Staffing is seeking an AI Application Engineer to build practical AI solutions that improve business processes and decision-making. This hands-on role covers the full lifecycle from prototype to production, collaborating with software, data, IT leadership, and business stakeholders.

The candidate will design, develop, test, and deploy AI applications using LLMs, RAG, embeddings, and AI agents, while evaluating performance, security, and governance requirements.

Qualifications

• Bachelors or equivalent in a technical field or equivalent experience.
• 2–4 years of professional software/AI development experience.
• Proficient in Python and software engineering fundamentals.
• Experience with APIs, databases, and system architecture.
• Hands-on with LLMs or Generative AI technologies.
• Cloud platforms experience and ability to move from prototype to production.
• Strong analytical, debugging, and collaboration skills.
• Willing to work a hybrid schedule based in Frisco, TX.

Responsibilities

• Design, develop, test, and deploy AI and Generative AI applications.
• Collaborate with business and tech teams to identify value opportunities.
• Build solutions using LLMs, RAG, embeddings, and AI agents.
• Integrate AI with enterprise apps, databases, and data sources.
• Create and maintain data pipelines for AI workloads.
• Utilize cloud AI platforms to build scalable solutions.
• Evaluate models for performance, cost, and security.
• Develop prompts, retrieval strategies, and agent workflows.
• Deploy AI apps to production and monitor performance.
• Follow AI governance, security, and privacy practices.
• Document architecture, designs, and operating procedures.
• Stay current with emerging AI tech and best practices.

Skills

Python

Software engineering

APIs

Troubleshooting

Education

BS in CS/Engineering/Data Science

Tools

LangChain

LlamaIndex

PyTorch

TensorFlow

Docker

CI/CD

MLOps

SQL

Job description

About the Opportunity

Our client is seeking an AI Application Engineer to develop practical, business-focused artificial intelligence solutions.

This opportunity is ideal for a mid-level professional with a strong software engineering foundation and hands‑on experience building AI, machine learning, or Generative AI applications.

Working alongside technology and business teams, you will design, develop, test, and deploy solutions that improve business processes, enhance decision‑making, and introduce new capabilities across the organization.

This is a hands‑on development role with ownership from prototype through production implementation.

Key Responsibilities

• Design, develop, test, and deploy AI and Generative AI applications.
• Partner with business and technology teams to identify opportunities where AI can deliver measurable value.
• Build solutions using Large Language Models (LLMs), retrieval-augmented generation (RAG), APIs, embeddings, and AI agents.
• Integrate AI capabilities with enterprise applications, databases, and internal and external data sources.
• Develop and maintain data pipelines supporting AI applications.
• Use cloud‑based AI platforms and services to build scalable, reliable solutions.
• Evaluate models and technologies based on performance, cost, security, and business requirements.
• Develop and refine prompts, retrieval strategies, and agent workflows to improve application performance.
• Deploy AI applications into production and support ongoing monitoring, troubleshooting, and optimization.
• Establish and execute tests to evaluate accuracy, reliability, and business outcomes.
• Follow established security, data privacy, and AI governance practices.
• Collaborate with software engineers, data professionals, IT leadership, and business stakeholders.
• Document application architecture, technical designs, workflows, and operating procedures.
• Evaluate emerging AI technologies and recommend practical applications.
• Contribute to the organization’s AI development standards and best practices.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent professional experience.
• 2–4 years of professional experience in software engineering, machine learning, data engineering, AI development, or a related field.
• Strong programming skills in Python.
• Understanding of software development, APIs, databases, and application architecture.
• Practical experience working with LLMs or Generative AI technologies.
• Experience working with cloud technologies.
• Ability to take a technical concept from prototype through implementation.
• Strong analytical, troubleshooting, and problem‑solving skills.
• Clear communication skills and the ability to collaborate with technical and business stakeholders.
• Ability to work a hybrid schedule based in Frisco, TX.

Preferred Experience

• RAG and retrieval‑based AI applications.
• Vector databases, embeddings, and semantic search.
• AI agents and agentic workflows.
• LangChain, LlamaIndex, or similar frameworks.
• PyTorch, TensorFlow, or other machine learning frameworks.
• Docker and CI/CD pipelines.
• MLOps or LLMOps practices.
• SQL, data engineering, and data pipeline development.
• Enterprise application and business system integrations.
• AI security, governance, and responsible AI practices.

What We’re Looking For

The ideal candidate combines strong software engineering skills, practical AI development experience, and curiosity about business problems.

You should be comfortable discussing applications you have built, including:

• The business problem you were solving.
• Why you selected a particular model or architecture.
• How you prepared, integrated, and secured the data.
• How you evaluated accuracy, reliability, and performance.
• How you deployed or moved the solution toward production.
• What you learned and would improve in a future iteration.

We value demonstrated ability to build and deploy useful solutions. A research background or Ph.D. is not required.

Employment Authorization

Candidates must be authorized to work in the United States on a full‑time basis without employer sponsorship.

Employment visa sponsorship and visa transfers are not available for this position, now or in the future.