AI Engineer: Build LLM Apps & Graph-RAG Pipelines

Appnovation Technologies; Montreal (administrative region); On-site; CAD 110,000 - 160,000; Full time

Job summary

Appnovation in Montreal, Canada, seeks an AI/Agent Engineer to design and evolve the agent layer of our platform, building MCP servers, tools, skills and graph-RAG pipelines that make documents accessible to multiple large language models. Collaborate with product, data and QA to raise answer quality and factual grounding.

You will write clean, production-grade code, participate in code reviews, and work in an agile environment to deliver reliable software that scales across the business.

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 apps.
• Strong Python, hands-on LLM app development and agentic patterns.
• Direct experience building MCP servers, tools and skills.
• Experience with RAG and graph-RAG systems, vector databases and embeddings.

Responsibilities

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

Skills

Python

AI/LLM development

Graph-RAG

Code quality

Team collaboration

Education

Bachelor's Degree in Computer Science or Engineering

Tools

Neo4j

Postgres/Supabase

Git

CI/CD

Claude

Gemini

Job description

Appnovation in Montreal, Canada, seeks an AI/Agent Engineer to design and evolve the agent layer of our platform, building MCP servers, tools, skills and graph-RAG pipelines that make documents accessible to multiple large language models. Collaborate with product, data and QA to raise answer quality and factual grounding.

You will write clean, production-grade code, participate in code reviews, and work in an agile environment to deliver reliable software that scales across the business.