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.
Solid 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.
#J-*****-Ljbffr

📌 Ai Engineer (Sydney)
🏢 FinXL Professional Services Pty
📍 Sydney