AI Integration Engineer - Context Sources (MCP/Model Context Protocol)

We are seeking an AI Integration Engineer to accelerate the integration of AI development tools with internal and external context sources using Model Context Protocol (MCP) and related architectures. This role focuses on enabling developers to leverage enterprise data context within AI tooling environments. Key Responsibilities

• Design and implement MCP-based integrations for AI development tools

• Build and validate data pipelines connecting:

• Code repositories

• Wikis

• Ticketing systems

• Internal APIs

• Ensure high-quality, relevant, and usable context for AI tools

• Collaborate with security and data teams on:

• Access control

• Data classification

• Redaction policies

• Evaluate and improve context retrieval and usability

• Document integration patterns, configurations, and operational processes

• 2+ years of hands-on experience with AI-assisted development tools

• Strong programming skills in:

• Python and/or TypeScript (Node.js)

• Experience building:

• Server-side integrations

• REST / GraphQL APIs (auth, pagination, rate limiting)

• Working knowledge of:

• Model Context Protocol (MCP) or similar context injection patterns

• Familiarity with:

• Vector databases

• Embeddings

• Search/retrieval concepts (BM25, semantic search)

• Ability to work onsite in Alpharetta, GA (mandatory)

Preferred Skills

• Experience with:

• RAG architectures / hybrid retrieval systems

• Knowledge graphs

• Exposure to:

• LangChain, LangGraph, or similar frameworks

• Experience with enterprise tools:

• Confluence, SharePoint, Jira, GitHub Enterprise, Bitbucket

• Financial services domain experience

Education

• Bachelor's degree in Computer Science, Software Engineering, or related field

(or equivalent practical experience) eye

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