AI Guardrails & AI/ML Engineer

Artifintech; Charlotte (NC); On-site; USD 140,000 - 200,000; Full time

Job summary

Artifintech is seeking an AI Guardrails & AI/ML Engineer to design, build, and deploy scalable AI solutions within an enterprise environment. The engineer will enable direct model access across cloud and hybrid environments, developing APIs, SDKs, guardrails, observability, and orchestration for production AI workloads.

The role requires deep expertise in LLMs, GenAI, prompt engineering, RAG, and agentic workflows, with collaboration across security, risk, and platform teams to ensure governance

Qualifications

• 5+ years of hands-on experience with LLM-based apps and GenAI in cloud-native environments.
• 5+ years of experience with large language models (LLMs).
• 5+ years of experience in prompt engineering.
• 5+ years in retrieval-augmented generation (RAG).
• 5+ years in agentic workflow and governance across enterprise systems.

Responsibilities

• Design, develop, and deploy scalable AI solutions in an enterprise environment.
• Integrate with OpenAI, Anthropic, and other model providers.
• Develop APIs, SDKs, guardrails, observability, and orchestration for production AI workloads.
• Collaborate with architecture, security, risk, and platform engineering to establish governance standards.

Skills

LLM-based applications

GenAI architecture

Prompt engineering

Retrieval-Augmented Generation

Agentic workflows

Model evaluation

Technical innovation

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.