AI Guardrails & AI/ML Engineer

Valiant Technologies LLC; Charlotte (NC); In loco; USD 140.000 - 200.000; Tempo pieno

Descrizione del lavoro

Valiant Technologies LLC is seeking an AI Guardrails & AI/ML Engineer to design, develop, and deploy scalable AI solutions for enterprise environments. The role focuses on direct model access across cloud and hybrid environments, building APIs, SDKs, and guardrails for secure, observable AI workloads.

The ideal candidate brings 5+ years in LLMs, prompt engineering, RAG, and agentic workflows, with proven ability to optimize performance, latency, and cost while collaborating with security, risk,

Competenze

• Minimum 5+ years of hands-on experience in LLM-based apps and GenAI architecture.
• Minimum 5+ years in large language models (LLMs).
• Minimum 5+ years of prompt engineering experience.
• Minimum 5+ years in retrieval-augmented generation (RAG).
• Minimum 5+ years in agentic workflow and model evaluation.
• Experience driving technical innovation and enterprise AI adoption.

Mansioni

• Design, develop, and deploy scalable AI solutions in an enterprise environment.
• Build enterprise-grade integrations with OpenAI, Anthropic, and other foundation model providers.
• Develop APIs, SDKs, guardrails, observability, and orchestration for production AI workloads.

Conoscenze

LLM-based applications

GenAI architecture

Cloud-native engineering

Prompt engineering

Retrieval-augmented generation

Agentic workflow

Model evaluation

Technical innovation

Descrizione del lavoro

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.