AI Integration Engineer – Context Sources (MCP)

VDart Inc

Job Location:

Alpharetta, GA - USA

Monthly Salary: Not Disclosed

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

Job Duties: AI Integration Engineer Context Sources (MCP)

Location: Alpharetta GA or New York NY (Hybrid)

Type: Contract

Role Summary

Accelerate the integration of AI development tools with internal and external context sources via Model Context Protocol (MCP) and related mechanisms. Focus on building validating and operationalizing context feeds so Morgan Stanley developers can leverage AI tooling against real enterprise context.
Key Responsibilities
Design and implement MCP-based integrations that surface internal and external context to AI dev tools.
Build and validate data flows between source systems (code repos wikis ticketing internal APIs) and AI tooling.
Evaluate context quality relevance and usability; iterate with developer stakeholders.
Collaborate with security and data stewards on access controls data classification and redaction where required.
Document integration patterns configuration and operational considerations for steady-state handover.
Minimum Skills Required: Required Skills & Experience
Minimum 2 years hands-on experience with AI-assisted development tools in a professional setting.
Proficient in Python and/or TypeScript/; comfortable building server-side integrations and APIs.
Working knowledge of Model Context Protocol (MCP) or equivalent context-injection patterns for LLM tools.
Experience building and consuming REST/GraphQL APIs handling auth pagination and rate limiting.
Familiarity with retrieval/search concepts (vector stores BM25 embeddings) at a practitioner level.
On-site at Alpharetta GA.

Preferred / Nice-to-Have

Prior work with RAG architectures hybrid retrieval or knowledge graph integrations.
Experience with enterprise content platforms (Confluence SharePoint Bitbucket/GitHub Enterprise Jira).
Exposure to LangChain LangGraph or similar orchestration frameworks.
Financial services experience.
Education
Bachelors degree in Computer Science Software Engineering or related technical field (or equivalent professional experience).

Job Duties: AI Integration Engineer Context Sources (MCP) Location: Alpharetta GA or New York NY (Hybrid) Type: Contract Role Summary Accelerate the integration of AI development tools with internal and external context sources via Model Context Protocol (MCP) and related mechanisms. Focus on b...

Job Duties: AI Integration Engineer Context Sources (MCP)

Location: Alpharetta GA or New York NY (Hybrid)

Type: Contract

Role Summary

Accelerate the integration of AI development tools with internal and external context sources via Model Context Protocol (MCP) and related mechanisms. Focus on building validating and operationalizing context feeds so Morgan Stanley developers can leverage AI tooling against real enterprise context.
Key Responsibilities
Design and implement MCP-based integrations that surface internal and external context to AI dev tools.
Build and validate data flows between source systems (code repos wikis ticketing internal APIs) and AI tooling.
Evaluate context quality relevance and usability; iterate with developer stakeholders.
Collaborate with security and data stewards on access controls data classification and redaction where required.
Document integration patterns configuration and operational considerations for steady-state handover.
Minimum Skills Required: Required Skills & Experience
Minimum 2 years hands-on experience with AI-assisted development tools in a professional setting.
Proficient in Python and/or TypeScript/; comfortable building server-side integrations and APIs.
Working knowledge of Model Context Protocol (MCP) or equivalent context-injection patterns for LLM tools.
Experience building and consuming REST/GraphQL APIs handling auth pagination and rate limiting.
Familiarity with retrieval/search concepts (vector stores BM25 embeddings) at a practitioner level.
On-site at Alpharetta GA.

Preferred / Nice-to-Have

Prior work with RAG architectures hybrid retrieval or knowledge graph integrations.
Experience with enterprise content platforms (Confluence SharePoint Bitbucket/GitHub Enterprise Jira).
Exposure to LangChain LangGraph or similar orchestration frameworks.
Financial services experience.
Education
Bachelors degree in Computer Science Software Engineering or related technical field (or equivalent professional experience).