AI Agent Engineer: Build LLM Pipelines & Graph-RAG

Appnovation; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

Appnovation seeks an AI / Agent Engineer to join a high-performing tech team and advance the agentic layer of our platform. You will craft MCP servers, tools, and graph-RAG pipelines that enable documents to be understood by multiple large language models.

You will partner with product, data and QA to raise answer quality, deliver production-grade code, and stay current with fast-moving AI tooling in a dynamic, client-focused environment.

Qualifications

• Bachelor’s degree or equivalent practical experience in CS/Engineering.
• 5+ years of software engineering experience with 2+ years in AI/ML or LLM-based applications.
• Strong Python and hands-on experience in LLM application development and agentic patterns.

Responsibilities

• Build and evolve MCP servers, tools, and skills that expose the platform to multiple LLMs (e.g., Claude, Gemini).
• Design and refine the graph-RAG pipeline that transforms documents into agent-friendly representations of facts, entities, and relationships.
• Implement retrieval across multiple tiers (source document, vector-RAG, dense graph) and temporal replay.
• Partner with QA on eval-driven improvements to answer quality and factual grounding.
• Write clean, well-tested, production-grade code and participate in code reviews.
• Collaborate closely with product, data, and QA in an agile/sprint model.
• Document designs, prompts, and tool interfaces for maintainability and handover.
• Monitor deployed agents/models, troubleshoot issues, and iterate on performance.
• Stay current with the fast-moving LLM/agent tooling landscape.

Skills

Python

AI/ML

LLM-based applications

Problem-solving

Communication

Independence

Education

Bachelor’s Degree in Computer Science, Engineering, or equivalent

Tools

MCP servers

Graph-RAG systems

Vector databases

Embeddings

Neo4j

Postgres/Supabase graph

Git

CI/CD

Job description

Appnovation seeks an AI / Agent Engineer to join a high-performing tech team and advance the agentic layer of our platform. You will craft MCP servers, tools, and graph-RAG pipelines that enable documents to be understood by multiple large language models.

You will partner with product, data and QA to raise answer quality, deliver production-grade code, and stay current with fast-moving AI tooling in a dynamic, client-focused environment.