AI & Agent Engineer: Build Multi-LLM Graph-RAG Pipelines

Appnovation Technologies; Phoenix (AZ); On-site; USD 110,000 - 170,000; Full time

Job summary

Appnovation Technologies is seeking an experienced AI / Agent Engineer to build and evolve the agentic layer of our platform. You will craft MCP servers, tools, and graph-RAG pipelines that enable documents to interface with multiple large language models, collaborating with product, data and QA in an agile environment.

You should have 5+ years of software engineering, at least 2 years in AI/ML or LLM-based apps, strong Python skills, and hands-on experience with RAG systems, vector databases,

Qualifications

• Bachelor’s Degree in Computer Science, Engineering, or equivalent practical experience.
• 5+ years of software engineering, with 2+ years in AI/ML or LLM-based applications.
• Strong Python, with hands-on experience in LLM application development and agentic patterns.
• Direct experience building MCP servers, tools, and skills.
• Experience with RAG and graph-RAG systems, vector databases, and embeddings.
• Familiarity with graph data stores (Neo4j and/or Postgres/Supabase-based graph implementations).
• Comfortable working against multiple LLM providers (e.g., Claude, Gemini).
• Solid software engineering fundamentals: version control (Git), testing, and CI/CD.
• Strong problem-solving and communication skills, with the ability to work independently in ambiguity.

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 apps

problem solving

communication

independence

Education

Bachelor’s Degree in Computer Science/Engineering

Tools

Neo4j

Postgres/Supabase graphs

vector databases

embeddings

Claude

Gemini

Job description

Appnovation Technologies is seeking an experienced AI / Agent Engineer to build and evolve the agentic layer of our platform. You will craft MCP servers, tools, and graph-RAG pipelines that enable documents to interface with multiple large language models, collaborating with product, data and QA in an agile environment.

You should have 5+ years of software engineering, at least 2 years in AI/ML or LLM-based apps, strong Python skills, and hands-on experience with RAG systems, vector databases,