AI Specialist

Prestige Staffing; Charlotte (NC); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading technology staffing firm is seeking a Senior Python / AI Engineer in Charlotte, NC to build and deploy production-grade AI applications that integrate large language models with enterprise data. You will design Python services, implement agent workflows, and ensure cloud deployments in AWS. The ideal candidate has over 3 years of experience in Python development and a strong background in AI application deployment, with familiarity in tools like Docker and vector databases.

Qualifications

• 3+ years of professional Python development experience.
• Hands-on experience building and deploying AI or data-driven applications.
• Familiarity with vector databases.

Responsibilities

• Design and develop Python services that integrate LLMs with structured data.
• Implement agent-style workflows using frameworks such as LangChain.
• Deploy and operate AI services in AWS using Docker.

Skills

Python development

AI application development

Working with LLMs

API development

AWS

Docker

Data integration

Tools

Pinecone

FAISS

Weaviate

Chroma

Job description

Our client is looking for a Senior Python / AI Engineer to help build and deploy production‑grade AI applications that integrate large language models with enterprise data. This role is hands‑on and engineering‑focused, centered on delivering reliable, scalable AI services rather than research or experimentation.

You’ll work on end‑to‑end solutions that include Python‑based APIs, retrieval‑augmented generation (RAG) pipelines, agent‑style workflows, and cloud deployments. The ideal candidate is comfortable owning backend architecture, translating business needs into technical solutions, and operating in a mature, enterprise environment.

What You’ll Be Doing

• Design and develop Python services that integrate LLMs with structured and unstructured data
• Build and maintain RAG pipelines using embeddings and vector databases
• Implement agent‑style workflows using frameworks such as LangChain or LlamaIndex
• Develop and expose APIs that connect data sources, tools, and model endpoints
• Prepare and structure data for AI use cases (SQL, document parsing, metadata tagging)
• Deploy and operate AI services in AWS using Docker and cloud‑native patterns
• Evaluate model performance, prompts, and retrieval quality; support lightweight fine‑tuning when needed
• Collaborate with internal teams to deliver scalable, production‑ready solutions

What We’re Looking For

• 3+ years of professional Python development experience
• Hands‑on experience building and deploying AI or data‑driven applications
• Practical experience with LLMs, embeddings, and retrieval‑augmented generation (RAG)
• Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma)
• Experience building APIs and backend services
• AWS and Docker experience in production environments
• Strong software engineering fundamentals and a production‑first mindset

Nice to have

• Experience with agent frameworks or multi‑agent orchestration
• Exposure to model evaluation, prompt testing, or lightweight fine‑tuning approaches
• Background working in large enterprise or regulated environments