AI Guardrails & AI/ML Engineer

Quantum Technologies. LLC; Charlotte (NC); On-site; USD 180,000 - 240,000; Full time

Job summary

Quantum Technologies. LLC seeks an AI Guardrails & AI/ML Engineer to design, develop, and deploy scalable AI solutions for enterprise environments.

You will build direct model access with OpenAI, Anthropic, and other providers across cloud and hybrid platforms, while creating APIs, SDKs, guardrails, and observability to productionize AI workloads. The role requires 5+ years in LLMs, GenAI architecture, prompt engineering, and RAG, with a focus on governance, performance optimization, and cost

Qualifications

• Minimum 5+ years of hands-on experience in LLM-based applications and GenAI architecture.
• Extensive experience with large language models (LLMs).
• Proven ability in prompt engineering, retrieval-augmented generation, and scalable AI solutions.

Responsibilities

• Design, develop, and deploy scalable AI solutions for enterprise environments.
• Integrate direct model access with OpenAI, Anthropic, and other providers across cloud and hybrid environments.
• Develop APIs, SDKs, guardrails, observability, and orchestration for production AI workloads.
• Evaluate model releases, optimize performance, latency, and cost.
• Collaborate with architecture, security, risk, and platform engineering to set governance and data protection standards.

Skills

LLM applications

GenAI architecture

Cloud-native engineering

Vendor direct consumption

Prompt engineering

RAG

Agentic workflow

Model evaluation

Technical innovation

Tools

OpenAI API

Anthropic API

Guardrails frameworks

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.