Generative AI Engineer: MCP, RAG & Enterprise Connectors

Ampcus Inc; Chantilly (VA); On-site; USD 120,000 - 170,000; Full time

Job summary

Ampcus Inc is seeking a highly skilled MCP, RAG, and Connectors Engineer to design, build, and optimize AI-powered solutions interfacing enterprise data with LLMs in Chantilly, VA. You will craft MCP servers, RAG pipelines, and custom connectors for secure, scalable AI experiences.

You will collaborate with Data Scientists, AI Engineers, and Product teams to deliver reusable integration frameworks, observability, and governance, while advancing deployment through CI/CD for AI services.

Qualifications

• Strong understanding of Large Language Models (GPT, Claude, Gemini, Llama, etc.).
• Hands-on experience with LangChain, Semantic Kernel, AI Agents and Tool Calling.
• Experience with MCP architecture, server development, and tool registration.
• Familiarity with REST/GraphQL APIs, OAuth 2.0/OpenID Connect, Microsoft Graph API.

Responsibilities

• Design and develop MCP servers and tools for LLM-driven applications.
• Implement tool-calling frameworks and agent integrations.
• Enable secure exposure of enterprise capabilities to AI assistants.
• Manage authentication, authorization, and governance of MCP services.
• Optimize context-sharing mechanisms between AI models and enterprise systems.
• Design and implement enterprise-grade RAG architectures.
• Build document ingestion, chunking, embedding, indexing, and retrieval pipelines.
• Integrate vector databases and semantic search solutions.
• Improve answer quality through reranking, hybrid search, and prompt optimization.
• Monitor retrieval accuracy, latency, and hallucination rates.
• Evaluate and implement advanced retrieval techniques.

Skills

Python

FastAPI

Flask

Node.js

SDK development

API development

Tools

LangChain

Semantic Kernel

Pinecone

Weaviate

Chroma

Elasticsearch/OpenSearch

Docker

Kubernetes

AWS

Google Cloud

Job description

Ampcus Inc is seeking a highly skilled MCP, RAG, and Connectors Engineer to design, build, and optimize AI-powered solutions interfacing enterprise data with LLMs in Chantilly, VA. You will craft MCP servers, RAG pipelines, and custom connectors for secure, scalable AI experiences.

You will collaborate with Data Scientists, AI Engineers, and Product teams to deliver reusable integration frameworks, observability, and governance, while advancing deployment through CI/CD for AI services.