AI Platform & Systems Integration Engineer
open systems technologiesBrooklyn, NY
$170-200 KAPPLY NOW (opens in a new tab)
AI Platform & Systems Integration Engineer
open systems technologiesBrooklyn, NY
today
$170-200 K
APPLY NOW (opens in a new tab)About the role
AI Platform & Systems Integration Engineer
Location: New York, NY
Compensation: $170-200K + bonus Responsibilities:
Own the end-to-end design of ingestion, transformation, and indexing pipelines connecting document management systems (DMS) and enterprise repositories to vector databases and LLM backends. Design and maintain production-grade REST and event-driven APIs, tool-calling interfaces (including Model Context Protocol / MCP), and middleware that connect autonomous agents with core business systems. Engineer robust access-control propagation to ensure ethical walls, matter restrictions, and granular user permissions remain uncompromised across indexing pipelines, vector stores, and AI responses. Establish real-time change-data-capture (CDC) and synchronization routines that reflect document edits, access revocations, retention policies, and deletions across downstream AI indices instantly. Collaborate with AI evaluation teams to translate ingestion failure modes, context drift, and retrieval bottlenecks into automated test suites, benchmarking frameworks, and regression controls. Lead cross-functional delivery across internal engineers and external vendor teams. Run code reviews, define architecture standards, mentor junior talent, and articulate trade-offs clearly to legal, security, and executive partners. Triage complex production issues spanning API gateways, asynchronous message buses, retrieval pipelines, and AI orchestrators, balancing latency, cost, and reliability.
Qualifications:
Required 5+ years of hands-on experience in data engineering, backend integration, or distributed platform engineering, with a proven track record of taking complex data infrastructure into production. Technical leadership experience, having guided technical roadmaps, run design reviews, and mentored engineering teams. Mastery of building and securing RESTful and event-driven architectures (Kafka, message queues, webhooks), API gateways, OAuth/OIDC, schema versioning, idempotency, rate limiting, and observability. Strong working knowledge of LLM failure modes, unstructured data extraction, vector databases, hybrid search (keyword + dense embeddings), re-ranking strategies, and RAG architectures. Experience implementing complex authorization models, multi-tenant isolation, or information barriers in regulated or high-compliance environments. Proficiency in Python, Java, or C#, alongside standard engineering workflows (CI/CD, Docker, Git, automated testing frameworks).Hands-on familiarity leveraging modern AI developer tools (coding agents, LLM-assisted workflows) responsibly, with strong instincts for context management, security validation, and code scrutiny.
Preferred:
Background in legal tech or highly regulated professional services (e.g., finance, healthcare, consulting).Hands-on familiarity with enterprise DMS platforms (such as iManage, NetDocuments), knowledge graphs, legal ontologies, or entity resolution. Experience implementing governed agentic tool interfaces (such as Anthropic’s Model Context Protocol or function-calling tool standards).
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JOB OVERVIEW
Salary
$170-200 K
Experience level
Manager
Location
Brooklyn, NY
Occupation
Computer Systems Engineers/Architects
Industry
Computer Systems Design Services
Posted
today
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