What are the responsibilities and job description for the AI Specialist position at Prestige Staffing?
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
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
- 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
- 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