AI Guardrails & AI/ML Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Charlotte (NC); On-site; USD 120,000 - 160,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Charlotte, NC seeks an AI Guardrails & AI/ML Engineer to design and deploy scalable enterprise AI solutions. You will architect integrations with OpenAI, Anthropic, and other providers, while enabling secure direct model access across cloud and hybrid environments.

Your work includes APIs, guardrails, observability, and governance collaboration across teams. Responsibilities include evaluating new model releases, optimizing performance and cost, and advancing

Qualifications

• Minimum 5+ years of hands-on experience with LLM-based applications and GenAI architecture.
• Experience with prompt engineering and retrieval-augmented generation (RAG).
• Proven track record in driving technical innovation and governance in AI deployments.

Responsibilities

• Design, develop, and deploy scalable AI solutions in enterprise environments.
• Build and operate enterprise-grade integrations with OpenAI, Anthropic, and other providers.
• Collaborate with security, risk, and platform teams to ensure governance and data protection.

Skills

LLM-based apps

GenAI architecture

prompt engineering

RAG

agentic workflow

model evaluation

innovation in AI

Job description

Job Overview

Job ID: J53872

Job Title: AI Guardrails & AI/ML Engineer

Location: Charlotte, NC

Duration: 11 Months + Extension

Domain Exposure: Healthcare

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Work Authorization: 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

Equal Opportunity Employer

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.