Generative AI Engineer

GTN Technical Staffing; Frisco (TX); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Job summary

GTN Technical Staffing is seeking an AI Engineer to join our technology organization and develop practical AI solutions that drive business value. This mid-level role emphasizes hands-on development, from prototyping to production, across AI/GenAI projects.

The ideal candidate has 2–4 years of experience, strong Python skills, and a track record of building AI applications using LLMs, embeddings, APIs, and data pipelines. Collaboration with cloud platforms and enterprise systems is essential.

Qualifications

• Bachelor's degree in computer science, engineering, data science, or related field or equivalent experience.
• 2–4 years of professional experience in software engineering, ML, data engineering, or AI development.
• Strong programming skills in Python.
• Experience with LLMs or Generative AI technologies.
• Experience with cloud technologies.
• Ability to take a concept from prototype through implementation.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

Responsibilities

• Design, develop, test, and deploy AI and Generative AI applications.
• Work with business and technology teams to identify opportunities where AI adds measurable value.
• Develop solutions utilizing LLMs, RAG, APIs, embeddings, and AI agents.
• Integrate AI capabilities with existing enterprise applications, databases, and data sources.
• Develop and maintain data pipelines to support AI applications.
• Work with cloud-based AI platforms and services.
• Evaluate AI models and technologies based on performance, cost, security, and business needs.
• Develop and refine prompts and workflows to improve AI performance.
• Assist with deploying AI solutions into production environments.
• Monitor AI applications and troubleshoot performance, accuracy, and reliability issues.
• Participate in testing, model evaluation, and continuous improvement of AI solutions.
• Follow security, data privacy, and AI governance practices.
• Research emerging AI technologies and make recommendations for potential applications.
• Collaborate with software engineers, data professionals, IT leadership, and business stakeholders.
• Document solutions, processes, and designs.
• Contribute to broader AI capabilities and best practices.

Skills

Python

AI/GenAI experience

Cloud technologies

Communication skills

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

LangChain

LlamaIndex

PyTorch

TensorFlow

Docker

CI/CD

Job description

Our client is seeking an AI Engineer to join its growing technology organization and help develop practical, business-focused artificial intelligence solutions.

This is an excellent opportunity for a mid-level AI professional who has hands-on experience developing AI, machine learning, and/or Generative AI applications and wants to take the next step in their career.

The successful candidate will work alongside experienced technology and business professionals to design, develop, test, and deploy AI solutions that improve business processes, enhance decision-making, and create new capabilities across the organization.

This is a hands-on development role for someone who enjoys building technology—not simply researching or evaluating it.

Key Responsibilities

• Design, develop, test, and deploy AI and Generative AI applications.
• Work with business and technology teams to identify opportunities where AI can deliver measurable value.
• Develop solutions utilizing Large Language Models (LLMs), RAG, APIs, embeddings, and AI agents.
• Integrate AI capabilities with existing enterprise applications, databases, and data sources.
• Develop and maintain data pipelines required to support AI applications.
• Work with cloud-based AI platforms and services.
• Evaluate different AI models and technologies based on performance, cost, security, and business requirements.
• Develop and refine prompts and workflows to improve AI application performance.
• Assist with deploying AI solutions into production environments.
• Monitor AI applications and help troubleshoot performance, accuracy, and reliability issues.
• Participate in testing, model evaluation, and continuous improvement of AI solutions.
• Follow established security, data privacy, and AI governance practices.
• Research emerging AI technologies and make recommendations for potential applications.
• Collaborate with software engineers, data professionals, IT leadership, and business stakeholders.
• Document solutions, processes, and technical designs.
• Contribute to the development of the organization's broader AI capabilities and best practices.

Qualifications

Required

• Bachelor's degree in computer science, Engineering, Data Science, or related technical field, or equivalent 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.
• 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 and problem-solving skills.
• Excellent communication and collaboration skills.

Preferred Experience

• RAG and retrieval-based AI applications
• AI agents and agentic workflows
• LangChain, LlamaIndex, or similar frameworks
• PyTorch, TensorFlow, or other ML frameworks
• Docker and CI/CD
• MLOps / LLMOps
• SQL and data engineering
• Enterprise system integrations
• AI security, governance, and responsible AI practices

What We're Looking For

The ideal candidate is a builder.

You don't need to be a research scientist or have a Ph.D. in AI. We're looking for someone who understands modern AI technologies and has demonstrated the ability to actually build and deploy solutions.

The strongest candidates will typically have:

Strong software engineering foundation + hands-on AI/GenAI experience + business curiosity.

We are particularly interested in candidates who have built projects or applications using LLMs and can explain:

• What problem they were solving
• Why they selected a particular model or architecture
• How they handled the data
• How they evaluated the results
• How they moved the solution toward production
• What they would do differently the second time