Offer summary

Qualifications:

Proficiency in Python for building scalable backend services., Experience with prompt engineering and LLM interaction patterns., Hands-on knowledge of AI orchestration tools like LangChain and LangGraph., Familiarity with containerized or serverless deployments on AWS and Azure..

Key responsibilities:

Develop AI-powered backend services and internal AI frameworks.

Design and refine prompts for large language models to ensure accuracy.

Integrate AI services with cloud-native platforms like Azure OpenAI and AWS Bedrock.

Collaborate with cross-functional teams to support API integration and maintain code quality.

Job description

Employment Type

Permanent

Closing Date

19 July 2025 11:59pm

Job Title

Software Engineer

Job Summary

Job Description

Who We Are

We're an iconic Aussie brand with a global footprint. Our purpose is to build a connected future so everyone can thrive. We're all about providing the best experience and delivering the best tech on the best network.

This includes making Telstra the place you want to work. For you, that means a having career that grows with you and working with a team powered by human connection that prioritises wellbeing and choice.

Focus of the Role

You’ll work closely with cross-functional teams to develop scalable, cloud-native solutions that integrate with large language models (LLMs), while contributing to the evolution of internal AI frameworks. This role offers opportunities to grow into full-stack and platform-level responsibilities.

What We Offer

Performance-related pay

Access to thousands of learning programs so you can level-up

Global presence across 22 countries; opportunities to work where we do business.

Purchased annual leave scheme

Additional Telstra day off

Additional 30% off Telstra products and services

Toolkit provided (laptop + mobile phone + plan paid for)

What You’ll Do

Product & Technology - Software Engineering & IT develops and maintains Telstra's software and IT systems, working on some really cutting-edge technologies.

Key Responsibilities

Build AI-powered backend services and contribute to the development of internal AI frameworks and reusable components.
Design and refine prompts for LLMs to ensure accurate, context-aware responses.
Integrate with orchestration frameworks such as LangChain and LangGraph to enable dynamic AI workflows.
Connect services to cloud-native AI platforms like Azure OpenAI and AWS Bedrock.
Deploy containerized or serverless microservices using AWS ECS Fargate and AWS Lambda.

Collaborate with frontend engineers to support API integration into React-based user interfaces.
Write clean, maintainable, and testable code following internal standards.
Debug and troubleshoot issues across development and staging environments.
Participate in documentation, code reviews, and internal knowledge sharing.
Stay current with trends in LLM tooling, AI orchestration, and cloud-native development.

About You

Essential Skills

Strong proficiency in Python, with experience building scalable backend services.
Deep understanding of prompt engineering and LLM interaction patterns.
Hands-on experience with LangChain, LangGraph, or similar AI orchestration tools.
Experience working with MCP server environments for modular AI service deployment.
Familiarity with containerized or serverless deployments on AWS (Lambda and ECS fargate).
Exposure to Azure OpenAI, AWS Bedrock.
Experience with Git, Docker, and CI/CD pipelines (e.g., GitLab).
Strong problem-solving skills and ability to work collaboratively in agile teams.
Awareness of testing strategies and service virtualization techniques, especially relevant to automation and quality assurance environments.

Desirable (Growth Areas)

Good to have knowledge of backend frameworks like Spring Boot (Java), with a readiness to learn and apply them as needed.
Willingness to learn and contribute to frontend development using React.js.

Required profile