AI Specialist III – Generative AI / Agentic AI Engineer

Strategic Staffing Solutions; Charlotte (NC); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

Strategic Staffing Solutions is seeking an experienced Generative AI Engineer to design, develop, and maintain AI-powered applications that generate code, data pipelines, and web apps from prompts. This role centers on generative AI, LLMs, and agentic AI technologies.

You will apply solid software engineering practices to produce maintainable, testable, modular solutions while advancing AI initiatives across the business.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or a related field, or 8 years of equivalent professional experience.
• 6–8 years of software engineering experience.
• 3–5 years of hands-on experience implementing generative AI solutions.
• Strong Python programming and the ability to learn new frameworks quickly.
• Hands-on experience building AI agents using Amazon Bedrock.
• Strong understanding of software engineering principles, modular code development, and application design.
• Experience writing maintainable, testable code.

Responsibilities

• Design, develop, and maintain AI-powered applications that generate code, pipelines, and web applications using generative AI and agentic technologies.
• Integrate generative AI solutions to improve operational efficiency and customer experience.
• Apply software design principles and established patterns to create clean, maintainable, modular, and scalable code.
• Build and implement AI agents, including solutions using Amazon Bedrock.
• Experiment with and implement LLM-based agentic technologies to enhance application capabilities.
• Use unit testing frameworks to support code quality, reliability, and maintainability.
• Collaborate with cross-functional teams and business stakeholders to support adoption of AI-powered tools.
• Develop solutions in alignment with established AI policies.
• Conduct research and development on emerging technologies, including blockchain and quantum computing.
• Provide technical guidance and mentorship to junior team members.

Skills

Generative AI

Python

Software engineering

Agentic AI

Unit testing

Mentorship

Education

Bachelor's degree in CS/IS

Equivalent work experience (8 years)

Tools

Amazon Bedrock

Job description

AI Specialist III – Generative AI / Agentic AI Engineer

Location: Charlotte, NC

Work Arrangement: Hybrid; candidates must be local to Charlotte

Experience: 6–8 years of software engineering and 3–5 years of hands-on generative AI implementation experience

Education: Bachelor's degree in Computer Science, Information Systems, or a related discipline, or 8 years of equivalent work experience in lieu of a degree

Rate: Competitive

Position Overview

We are seeking an experienced Generative AI Engineer to design, develop, and maintain AI-powered applications capable of automatically generating code, data pipelines, and web applications from prompts.

This role focuses on generative AI, large language models (LLMs), and agentic AI technologies. The successful candidate will apply strong software engineering principles to build maintainable, testable, modular applications while developing AI solutions that improve operational efficiency and customer experience.

The engineer will collaborate with technical teams and business stakeholders, explore emerging AI technologies, optimize AI models, and provide technical guidance to junior team members.

Key Responsibilities

• Design, develop, and maintain applications that generate code, pipelines, and web applications using generative AI and agentic technologies.
• Integrate generative AI solutions to improve operational efficiency and customer experience.
• Apply software design principles and established patterns to create clean, maintainable, modular, and scalable code.
• Build and implement AI agents, including solutions using Amazon Bedrock.
• Experiment with and implement LLM-based agentic technologies to enhance application capabilities.
• Use unit testing frameworks to support code quality, reliability, and maintainability.
• Optimize and fine-tune AI models for performance, scalability, and accuracy.
• Collaborate with cross-functional teams and business stakeholders to support adoption of AI-powered tools.
• Develop solutions in alignment with established AI policies.
• Conduct research and development on emerging technologies, including blockchain and quantum computing.
• Provide technical guidance and mentorship to junior team members.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, or a related field, or 8 years of equivalent professional experience in lieu of a degree.
• 6–8 years of software engineering experience.
• 3–5 years of hands-on experience implementing generative AI solutions.
• Strong programming skills in Python and the ability to learn new frameworks quickly.
• Hands-on experience building AI agents using Amazon Bedrock.
• Strong understanding of software engineering principles, modular code development, and application design.
• Experience writing maintainable, testable code.

Preferred Qualifications

• Software engineering experience focused on AI and machine learning.
• Experience with agentic AI technologies and applications.
• Familiarity with generative AI frameworks and large language models.
• Knowledge of natural language processing (NLP) and computer vision.
• Experience with DevOps practices and CI/CD tools.
• Programming experience with Python, React, and Angular.
• Experience with AWS cloud services.
• Familiarity with unit testing frameworks and automated testing practices.
• Strong problem-solving, communication, and collaboration skills.
• Commitment to continuous learning and staying current with emerging AI technologies.

Required Assessment

Candidates must complete the Glider GAI Expert/Software Engineer assessment.

Ideal Candidate

The ideal candidate combines substantial software engineering experience with practical generative AI implementation expertise. They can build AI-powered applications and agents, demonstrate hands-on experience with Amazon Bedrock, and apply sound engineering practices to deliver scalable, reliable solutions.