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AI/ML Engineer-Charlotte, NC / Atlanta, GA

Job

TechniPros, LLC

Denver, CO (In Person)

Full-Time

Posted 4 days ago (Updated 1 day ago) • Actively hiring

Expires 7/13/2026

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Job Description

Job Title:

AI/ML Engineer Location:

Charlotte, NC / Atlanta, GA Can do Only W2, No C2

C Job Summary:

We are seeking a highly experienced Senior AI/ML Engineer to design, develop, deploy, and scale enterprise-grade AI/ML solutions. The ideal candidate will have a strong background in software engineering, data engineering, or solution architecture, along with hands-on expertise in Generative AI, Agentic AI, and cloud-based AI platforms. This role requires experience building production-ready AI applications, backend services, and AI/ML platforms leveraging AWS technologies.

Key Responsibilities:

Design, develop, and deploy scalable AI/ML solutions for enterprise applications. Build and maintain Generative AI and Agentic AI applications using modern AI frameworks and cloud services. Develop backend APIs and microservices using Python and FastAPI. Implement and optimize AI/ML pipelines for model training, deployment, and monitoring. Integrate Large Language Models (LLMs) into business applications and workflows. Leverage AWS AI services including Bedrock and SageMaker for AI solution development. Establish CI/CD pipelines and MLOps best practices for AI/ML deployments. Monitor AI systems using observability and performance monitoring tools. Collaborate with cross-functional teams including engineering, architecture, data, and business stakeholders. Ensure AI solutions meet scalability, security, reliability, and performance requirements.

Required Skills:

10+ years of Software Engineering, Data Engineering, or Solution Architecture experience. 3+ years of hands-on AI/ML solution development and deployment experience. Strong expertise in Python development. Experience with FastAPI and backend API development. Hands-on experience with Generative AI solutions. Strong understanding of Large Language Models (LLMs). Experience building Agentic AI solutions and intelligent agents. Experience with AWS Bedrock and Amazon SageMaker. Strong background in AI/ML Platform Development. Experience with API Development and scalable backend services. Experience implementing CI/CD Pipelines for AI/ML workloads. Experience using GitHub Copilot or similar AI-assisted development tools. Hands-on experience with monitoring and observability tools such as: Splunk Datadog Arize Galileo Similar AI monitoring platforms

Preferred Qualifications:

Experience designing enterprise-scale AI platforms. Knowledge of MLOps and AI governance frameworks. Experience with cloud-native architectures and distributed systems. Familiarity with model monitoring, drift detection, and AI observability. Experience integrating AI solutions into large-scale enterprise environments. AWS certifications or AI/ML-related certifications are a plus.