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# Senior AI Engineer - Generative AI / RAG

- **Company:** Ampcus Inc
- **Location:** Fairfax County, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Business Software, Encodings, Python (Programming Language), Knowledge Management, Search Technologies, Software Engineering, Chatbots, Data Ingestion, Large Language Models, Prompt Engineering, IT Architecture, Generative AI, Kubernetes, Machine Learning Operations, Docker
- **Published:** May 27, 2026
- **Apply:** https://diversityjobs.com/career/17037138/Senior-Ai-Engineer-Generative-Ai-Rag-Virginia-Chantilly

## About the Role

* 7 years of software engineering or AI/ML experience.
 * Strong hands-on experience with Generative AI and RAG implementations.
 * Expertise with Python and AI frameworks such as LangChain or LlamaIndex.
 * Experience with LLM APIs, embeddings, semantic search, and prompt engineering.
 * Knowledge of vector databases and enterprise AI architecture.
 * Experience with AWS, Azure, or GCP cloud platforms.
 * Familiarity with APIs, Docker, Kubernetes, and MLOps/LLMOps practices.

Preferred Skills

 * Experience with AI agents, fine-tuning, or Graph RAG.
 * Knowledge of AI governance, security, and responsible AI.
 * Experience building enterprise AI assistants or knowledge management solutions.

## Description

We are seeking a Senior AI Engineer with strong expertise in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) to build enterprise AI knowledge platforms and intelligent search solutions. The ideal candidate will have hands-on experience designing scalable AI applications using vector databases, semantic search, and modern AI orchestration frameworks., * Design and implement RAG-based AI solutions and enterprise knowledge bases.

 * Integrate LLMs (OpenAI, Claude, Llama, etc.) into business applications.
 * Develop AI-powered chatbots, search, and conversational AI platforms.
 * Build and optimize data ingestion, embedding, and retrieval pipelines.
 * Work with vector databases such as Pinecone, FAISS, Weaviate, or ChromaDB.
 * Collaborate with engineering and business teams to deploy scalable AI solutions.
 * Improve AI response quality, grounding, and hallucination reduction.


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