AI Engineer – NLP

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The AI Engineer – NLP is a hands-on, onsite role in Charlotte focused on building, deploying, and supporting production-grade LLM applications. The position requires strong Python backend engineering, RAG, orchestration frameworks, agents/tool calling, guardrails, evaluation, and PostgreSQL-backed services. The engineer will use Azure or comparable cloud platforms to design scalable, secure, and reliable AI solutions. Candidates must understand real-world trade-offs involving model quality, latency, cost, security, and performance. This is not a research-focused position; it requires ownership of live applications, production troubleshooting, and the ability to deliver results with limited oversight.

AI Engineer NLP – Benefits:

• Health, dental, and vision insurance
• Paid time off and holidays
• 401(K) retirement savings plan options
• Opportunities for career advancement and professional growth

AI Engineer NLP – Required Qualifications:

• Deep hands-on experience building and supporting production LLM applications.
• Strong Python backend engineering experience.
• Experience with PostgreSQL or another robust relational DBMS.
• Hands-on experience with RAG, embeddings, semantic retrieval, and vector search.
• Strong understanding of orchestration frameworks such as LangChain, LangGraph, or comparable tools.
• Experience with agents, tool/function calling, guardrails, and response validation.
• Ability to design appropriate architectural patterns for real-world business problems.
• Experience deploying scalable AI solutions in Azure; strong AWS or GCP experience may also be considered.
• Experience managing production concerns including latency, cost, security, reliability, monitoring, and incidents.
• Ability to work independently, take ownership, and deliver results with limited oversight.
• Authorized to work in the United States without current or future sponsorship.
• Able to work onsite in Charlotte, North Carolina.

AI Engineer NLP – Preferred Skills:

• React or other modern front-end development experience.
• DevOps and Infrastructure as Code experience, including Terraform or comparable tools.
• Docker, Kubernetes, and CI/CD pipeline experience.
• Traditional machine learning experience in addition to LLM engineering.
• Experience with Azure AI services and cloud-native deployment patterns.
• Familiarity with observability, model monitoring, and production support tooling.
• Experience with vector databases, embeddings, and retrieval optimization.
• Knowledge of secure AI application design, prompt-injection defenses, and access controls.

JOB ID: 179217

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Olivier Ludunge

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