AI Guardrails & AI/ML Engineer

Machine Learning Technologies, LLC; Charlotte (NC); On-site; USD 160,000 - 210,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking an AI Guardrails & AI/ML Engineer to design, develop, and deploy scalable AI solutions in an enterprise setting. You will build enterprise-grade integrations with frontier model providers, enable secure direct model access, and collaborate on standards for governance and data protection.

The role emphasizes security, observability, cost optimization, and cross-functional partnership with architecture, security, risk, and platform teams to advance

Qualifications

• Minimum 5+ years of hands-on experience with LLM-based applications and GenAI architectures.
• Extensive experience with large language models and prompt engineering.
• Experience with retrieval-augmented generation (RAG) and agentic workflows.
• Proven ability to drive technical innovation and model governance in enterprise environments.

Skills

LLM technologies

GenAI architecture

Prompt engineering

RAG

Agentic workflow

Model evaluation

Cloud-native engineering

Tools

OpenAI

Anthropic

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Description

The AI Guardrails & AI/ML Engineer is responsible for designing, developing, and deploying scalable AI solutions within an enterprise environment. The AI Engineer will design, build, and operate enterprise-grade integrations with frontier AI model providers, including OpenAI, Anthropic, and other emerging foundation model vendors. This role is responsible for enabling secure, scalable, and compliant direct model access across cloud and hybrid environments, developing APIs, SDKs, guardrails, observability capabilities, and orchestration frameworks that support production AI workloads. The engineer will evaluate and integrate new model releases, optimize performance, latency, reliability, and cost, and partner with architecture, security, risk, and platform engineering teams to establish standards for model governance, data protection, and responsible AI.

Basic Qualifications

• Minimum 5+ years of experience of hands-on expertise in LLM-based applications, GenAI architecture, and modern cloud-native engineering practices, focusing on specific vendor direct consumption (i.e.OpenAI, Anthropic)
• Minimum 5+ years of experience in large language models (LLMs)
• Minimum 5+ years of experience in prompt engineering
• Minimum 5+ years of experience in retrieval-augmented generation (RAG)
• Minimum 5+ years of experience in agentic workflow
• Minimum 5+ years of experience in model evaluation
• Minimum 5+ years of experience in driving technical innovation and accelerating adoption of advanced AI capabilities across the enterprise

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.