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Lead Full Stack Engineer - AI-Enabled Platforms
Python | FastAPI | React | TypeScript | AWS
We're partnering with a large enterprise building the next generation of AI-enabled digital platforms.
This role is for a Lead Full Stack Engineer who enjoys owning systems end-to-end — from modern frontend product experiences through to high-performance backend services and APIs.
You'll lead the development of production-grade applications that embed AI capabilities into real software products, with a strong emphasis on Python backend engineering, FastAPI services and MCP-enabled integrations.
This is a hands-on technical leadership role for an engineer who enjoys designing and building scalable systems that ship to users, not just prototypes or research environments.
What You'll Build
You'll help design and deliver scalable applications that:
What You'll Do
What You Bring
Core Engineering Stack
Why This Role
If you're a strong Python engineer who enjoys building scalable backend systems while delivering modern full stack applications, this is a rare opportunity to help shape the next generation of AI-enabled enterprise platforms.
Apply now or reach out for a confidential discussion.
Lead Full Stack Engineer - AI-Enabled Platforms
| Location: | Sydney |
| Discipline: | Technology |
| Job type: | Permanent |
| Salary: | $200K to $220K Package |
| Contact name: | Nick Paisley |
| Contact email: | nickp@talentlink.com.au |
| Job ref: | 1429074 |
| Published: | about 3 hours ago |
| Startdate: | ASAP |
Python | FastAPI | React | TypeScript | AWS
We're partnering with a large enterprise building the next generation of AI-enabled digital platforms.
This role is for a Lead Full Stack Engineer who enjoys owning systems end-to-end — from modern frontend product experiences through to high-performance backend services and APIs.
You'll lead the development of production-grade applications that embed AI capabilities into real software products, with a strong emphasis on Python backend engineering, FastAPI services and MCP-enabled integrations.
This is a hands-on technical leadership role for an engineer who enjoys designing and building scalable systems that ship to users, not just prototypes or research environments.
What You'll Build
You'll help design and deliver scalable applications that:
- Power enterprise AI-enabled workflows and decision platforms
- Deliver modern React-based product experiences
- Expose scalable Python / FastAPI backend services and APIs
- Integrate LLM capabilities through MCP-enabled service layers
- Operate reliably at enterprise scale with strong observability and performance
What You'll Do
- Design and build modern full stack applications used across the enterprise
- Develop Python backend services using FastAPI to power AI-enabled products
- Build and maintain high-performance APIs and service layers supporting enterprise workloads
- Integrate LLM-powered capabilities through Model Context Protocol (MCP) frameworks
- Develop React + TypeScript interfaces supporting complex enterprise workflows
- Architect data flows, APIs and services that support AI-powered product features
- Deliver reliable software through CI/CD pipelines, automated testing and strong observability practices
- Lead engineering decisions around system architecture, scalability and service design
- Mentor engineers and contribute to engineering standards and best practices
What You Bring
- 6+ years experience building production software as a full stack engineer
- Strong backend engineering capability in Python
- Experience building production services with FastAPI or similar async Python frameworks
- Experience designing scalable APIs, microservices and service-oriented architectures
- Experience integrating AI capabilities into production software products
- Experience with Model Context Protocol (MCP) or similar AI integration frameworks
- Strong experience with React and TypeScript
- Cloud-native development experience on AWS
- Ability to lead technical decisions while remaining hands-on with code
Core Engineering Stack
- Backend: Python, FastAPI, MCP frameworks
- Frontend: React, TypeScript
- AI Systems: LLM integrations, RAG pipelines, vector databases
- Data Platform: Databricks Lakehouse
- Cloud: AWS
- Platform: CI/CD pipelines, automated testing, observability tooling
- Architecture: APIs, microservices, event-driven systems
Why This Role
- Build real software products used across the enterprise
- Work across frontend, backend and AI-enabled service layers
- Lead development of Python-based application platforms
- Integrate modern AI capabilities into production systems
- Influence the technical direction of enterprise-scale platforms
If you're a strong Python engineer who enjoys building scalable backend systems while delivering modern full stack applications, this is a rare opportunity to help shape the next generation of AI-enabled enterprise platforms.
Apply now or reach out for a confidential discussion.
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