AI Engineer

About the Role

Are you passionate about shaping the future of enterprise automation and smart applications? We are seeking an experienced AI Engineer with a strong background in Generative AI, Agentic AI, and cloud-native software development.

In this role, you will be at the forefront of designing, building, and deploying cutting edge, enterprise scale AI solutions. You will leverage modern architectures-including Retrieval Augmented Generation (RAG), autonomous AI Agents, Model Context Protocol (MCP), and production grade AWS AI infrastructure to deliver real world business impact.

Key Responsibilities

• Design & Architecture: Build and deploy scalable, enterprise grade AI solutions, microservices, and REST APIs using cloud-native architectural patterns.

• Agentic AI Systems: Develop state-of-the-art AI Agents equipped with multi-step planning, reasoning, memory, and automated tool-calling capabilities.

• Knowledge & Retrieval Systems: Design, optimise, and maintain RAG frameworks and RAG as a Service platforms utilising semantic, vector, and hybrid search techniques.

• Integrations & MCP: Build custom MCP Servers, Clients, and enterprise connectors to support agent-to-agent communication and system interoperability.

• AWS Cloud Deployment: Operationalise AI models and agent frameworks on AWS using Amazon Bedrock, AWS AgentCore, and supporting cloud infrastructure.

Key Requirements & Skills Core Software Engineering

• Proven software engineering expertise in Python and/or Node.js (TypeScript).

• Solid experience designing and building REST APIs, microservices, and distributed cloud applications.

• Strong knowledge of software architecture and cloud-native design principles.

Generative AI & RAG

• Hands on experience designing and delivering RAG solutions or RAG as a Service platforms.

• Technical expertise in Semantic Search, Vector Search, Embeddings, and Hybrid Retrieval strategies.

Agentic AI & Frameworks

• Proven experience building and deploying production grade AI Agents with planning, reasoning, memory, and tool calling functionality.

• Hands on experience with orchestration frameworks like LangChain, LangGraph, or similar frameworks is highly desirable.

Model Context Protocol (MCP)

• Demonstrated experience developing and integrating MCP Servers and MCP Clients.

• Practical experience building custom tools, integrations, and enabling agent to agent interoperability.

AWS AI & Cloud Infrastructure

• Hands on experience with Amazon Bedrock and AWS AgentCore.

• Experience deploying production AI applications on AWS using OpenSearch, API Gateway, DynamoDB, and S3.

What's On Offer?

• Initial 12 months' contract with a view to extend
• Located in Sydney CBD
• Hybrid working arrangement to get your best work done! (2-3 days in the office)
• Cutting-Edge Tech Stack: Work directly with the latest innovations in Generative AI, Agentic workflows, and MCP standards.
• Enterprise Impact: Drive end-to-end delivery of high-visibility, transformative AI projects.
• Growth & Culture: Join a collaborative, forward-thinking environment that supports continuous learning and technical mastery.