AI Platform Engineer: Agent & LLM Systems

Appnovation; Cudlee Creek; On-site; AUD 130,000 - 190,000; Full time

Job summary

Appnovation is seeking an AI/Agent Engineer — an “AI Builder” — to join a highly motivated team at the core of our platform. You will craft the MCP servers, tools, and graph-RAG pipelines that make documents intelligible to multiple large language models, and partner with product, data and QA to continuously raise answer quality and factual grounding.

We are looking for people who bring a strong, solution-focused mindset, thrive amid fast-moving AI tooling, and get things done.

Qualifications

• Bachelor’s Degree in Computer Science, Engineering, or equivalent practical experience.
• 5+ years of experience in 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

Strong Python

LLM applications

Agentic patterns

CI/CD

Git

Communication skills

Independent in ambiguity

Education

Bachelor’s Degree in Computer Science/Engineering or equivalent

Tools

Neo4j

Postgres/Supabase graphs

Vector databases

Embeddings

Job description

Appnovation is seeking an AI/Agent Engineer — an “AI Builder” — to join a highly motivated team at the core of our platform. You will craft the MCP servers, tools, and graph-RAG pipelines that make documents intelligible to multiple large language models, and partner with product, data and QA to continuously raise answer quality and factual grounding.

We are looking for people who bring a strong, solution-focused mindset, thrive amid fast-moving AI tooling, and get things done.