AI Engineer (Agentic Systems)

Chandler Holdings; Australia; On-site; AUD 120,000 - 180,000; Full time

Job summary

Chandler Holdings seeks an AI Engineer to join our core team and accelerate Governa AI development. You will architect agentic workflows, optimise RAG pipelines, and ensure production-grade AI across secure, observable deployments.

The role focuses on LangChain/LangGraph design, high-performance backend services with FastAPI, and advanced Python mastery. Candidates should demonstrate strong concurrency, data privacy, and robust model integrations.

Qualifications

• Proficient in Python with async features and performance profiling.
• Strong architectural mindset for scalable systems and RESTful design.
• Experience with LangChain/LangGraph and agentic orchestration patterns.
• Security-first approach to data handling and PII scrubbing.
• Hands-on experience with LLM integrations (OpenAI or open-source).

Responsibilities

• Design and implement agentic workflows using LangChain and LangGraph.
• Build high-performance backend services with FastAPI.
• Optimize vector databases and embeddings for accurate retrieval.
• Develop complex SQL queries with emphasis on efficiency and safety.
• Ensure privacy, data handling compliance, and secure AI interactions.
• Implement concurrency patterns for high-throughput LLM interactions.
• Add observability and monitoring to trace reasoning and debug hallucinations.
• Refine prompts and integrate LLMs across OpenAI and open-source models.

Skills

Advanced Python

Async programming

Type hinting

Performance profiling

Architectural mindset

LangGraph

Security-first thinking

Tools

LangChain

LangGraph

FastAPI

OpenAI models

Vector databases

Job description

We are looking for an AI Engineer to join our core team to accelerate the development of the Governa AI product.

This is not a role for someone who simply integrates API endpoints. We are building complex, multi-agent systems that require a deep understanding of state management, concurrency, reliability, and production-grade AI architecture.

You will be responsible for architecting agentic workflows, optimising our Retrieval-Augmented Generation (RAG) pipelines, and ensuring that AI interactions are performant, secure, and observable in production environments.

Technical Stack & Responsibilities

1. Agentic Design & Orchestration

• Design and implement sophisticated agentic workflows using LangChain and LangGraph
• Apply agentic design patterns (Reflection, Planning, Tool Use) to solve non-linear problems
• Build and maintain high-performance backend services using FastAPI
• Optimise vector databases and embedding strategies to improve retrieval precision
• Engineer complex SQL queries with strong emphasis on efficiency and safety (including SQL injection prevention in LLM-driven contexts)
• Manage data pipelines and PII handling to maintain strict privacy and compliance standards

3. Performance & Reliability

• Implement concurrency patterns to handle high-throughput LLM interactions
• Utilise observability and monitoring tools to trace agent reasoning and debug hallucinations
• Refine prompt engineering strategies and LLM integrations (OpenAI and open-source models) to ensure consistent, high-quality output

What We’re Looking For

• 2-3 years of professional experience specifically in AI/ML engineering, or advanced backend roles with strong LLM exposure
• Advanced Python mastery – including async programming, type hinting, and performance profiling
• Architectural mindset – you design scalable systems, understand HTTP/REST best practices, and can scale distributed services
• The 'Agentic' edge – direct experience with LangGraph or similar state-machine-based orchestration frameworks is highly preferred
• Security-first thinking – knowledge of PII scrubbing and safe data handling within AI-driven systems