Full Stack Agentic AI Engineer

Recmatrix Consulting; Sydney; On-site; AUD 166,000 - 221,000; Full time

Job summary

Recmatrix Consulting in Sydney, Australia, seeks an experienced Full Stack Agentic AI Engineer to design, develop, and deploy enterprise-grade Generative AI and agent-based solutions. You will build agent-based architectures, integrate LLMs, and deploy on AWS, with emphasis on secure, scalable production systems in the financial services domain.

The role requires 6+ years in software development, hands-on Python and Next.js, and experience with AWS Bedrock, SageMaker, and orchestration

Qualifications

• 6+ years of software development experience
• 2+ years with Generative AI/LLM-based solutions in production
• Experience designing Agentic AI architectures and multi-agent systems
• Hands-on AWS cloud experience (Bedrock, SageMaker, EKS/ECS)
• Experience with AI orchestration frameworks (LangChain, LangGraph, Semantic Kernel)
• Strong knowledge of LLMs, prompts, RAG, and fine-tuning
• Exposure to model integration (Hugging Face) and production monitoring
• Experience with security, governance, and compliance for AI systems

Responsibilities

• Design, develop, and deploy enterprise-grade Generative AI and Agentic AI solutions
• Build agent-based architectures and multi-agent orchestration workflows
• Develop full-stack apps with Python and Next.js
• Integrate LLMs and foundation models into enterprise apps
• Deploy AI solutions on AWS cloud infrastructure
• Establish CI/CD, automated testing, monitoring and observability
• Implement AI security guardrails and governance compliance
• Collaborate with architects and engineering teams to deliver AI solutions in banking/financial services

Skills

Python

Generative AI

Agentic AI

Multi-agent orchestration

Cloud computing

Tools

Next.js

AWS Bedrock

AWS SageMaker

Amazon EKS / ECS

LangChain / LangGraph / Semantic Kernel

Hugging Face integration

Job description

Job title: Full Stack Agentic AI Engineer

Location: Sydney, Australia

Engagement: Contract

Experience: 6+ Years

Role Overview

We are looking for an experienced Full Stack Agentic AI Engineer to design, develop, and deploy enterprise-grade Generative AI and agent-based solutions. The ideal candidate will have strong hands-on experience in Python, Next.js, AWS cloud services, and Agentic AI frameworks, preferably within the banking or financial services industry.

Key Responsibilities

• Design, develop, and deploy enterprise-grade Generative AI and Agentic AI solutions.
• Build agent-based architectures and multi-agent orchestration workflows.
• Develop full-stack applications using Python and Next.js.
• Integrate LLMs, foundation models, and AI frameworks into enterprise applications.
• Deploy and manage AI solutions on AWS cloud infrastructure.
• Implement secure, scalable, and production-ready AI solutions.
• Establish CI/CD pipelines, automated testing, monitoring, and observability.
• Implement AI security guardrails and adhere to enterprise governance and compliance standards.
• Collaborate with architects, business stakeholders, and engineering teams to deliver AI solutions.

Required Skills & Experience

• 6+ years of overall software development experience, with strong hands-on Python programming skills.
• 2+ years of hands-on experience developing Generative AI / LLM-based solutions, with proven experience deploying at least one solution into an enterprise production environment.
• Practical experience designing and implementing Agentic AI architectures, AI agents, and multi-agent orchestration.
• Hands-on experience with AWS cloud services, particularly: AWS Bedrock, AWS SageMaker & Amazon EKS / ECS
• Experience with AI orchestration frameworks such as LangChain, LangGraph, or Microsoft Semantic Kernel.
• Strong understanding of LLMs, foundation models, prompt engineering, RAG, and fine-tuning techniques.
• Exposure to Hugging Face and model integration.
• Experience with DevOps, CI/CD pipelines, automated testing, application security, and production monitoring.
• Knowledge of AI governance, compliance, responsible AI, and security guardrails.
• Previous experience in banking or financial services.
• Exposure to fraud detection, customer personalisation, or conversational AI.
• Previous experience in banking or financial services.
• Exposure to fraud detection, customer personalisation, or conversational AI solutions.
• Experience working with enterprise-scale cloud-native architectures.