Job Description
Full job description
About Brighte
Our mission is to make consumer energy resources (CER) affordable and accessible for everyone.
Brighte is building the platform to enable and accelerate the energy transition by making it affordable, easy and less risky to buy and sell energy equipment.
Our founder and CEO, Katherine McConnell, has been awarded Telstra Businesswoman of the year in 2020 as well as winning the Sustainability Crusader award at B&T's 2023 Women Leading Tech Awards. She is a passionate and humble leader who has a human first approach to business.
As a business in 2025, we have been named a AFR Sustainability Leader within the Banking and Finance category and won the inaugural Sustainability Award at the Affies in 2024!
About the Role & Responsibilities
Design and build LLM-powered features and automation workflows including RAG pipelines, agent workflows, and tool-calling integrations.
Contribute to data-flow design, context management, and model selection decisions and participate in technical design reviews and help establish good patterns for prompt engineering, retrieval, and output validation. In the role, you will
Lead the development of AI tools and applications, from inception to implementation.
Improving Existing Systems: Identify and address quality issues in production AI systems. Help migrate ad-hoc LLM integrations toward more maintainable, testable service boundaries. Flag and help address technical debt in AI workflows.
Reliability, Observability & Evaluation: Implement and contribute to evaluation frameworks for AI systems in production. Instrument AI features with meaningful observability: token consumption, latency, retrieval quality, and error rates. Help define quality baselines and monitor AI system performance over time.
Compliance & Data Handling: Build AI features in line with Brighte's data handling policies and relevant regulatory requirements (Australian Privacy Act, CDR, APRA CPS 234). Work with Risk and Compliance stakeholders to ensure AI-influenced decisions are appropriately logged and explainable. Apply security best practices including PII redaction and prompt injection awareness.
Collaboration & Mentorship: Collaborate closely with product, data, and engineering peers to deliver AI features. Share knowledge of AI design patterns with the team. Provide thoughtful code reviews and contribute to engineering best practices for AI systems.
What You’ll Bring
5+ years of software engineering experience, with at least 2 years building and operating LLM or AI-powered systems in production – experience working in a fintech, lending or payment business is highly advantageous
Solid understanding of LLM integration patterns: RAG architecture, prompt engineering, embedding models, vector databases, and output validation
Hands-on experience with workflow automation platforms (n8n, Temporal, or similar) in a production context
Working knowledge of AWS Bedrock, or experience integrating multiple LLM providers
Awareness of AI compliance considerations in regulated environments, data handling, audit logging, and explainability basics
You have an AI-first mindset, you proactively look for opportunities to apply AI thoughtfully and evaluate model outputs critically
What's in it for you?
Flexible working arrangements to suit individual needs and a hybrid work model. Our office is designed for collaboration, creativity and balance between office engagement and remote flexibility. We work in office 3 days a week and 2 WFH.
Free lunch! Yes, there is such a thing! Kickstart your week with our Monday Mingle meaning lunch on us and great company. From tacos, to sushi, to charcoal chicken, it's a delicious way to catch up, unwind and connect.
Get social. We host a range of social activities at Brighte. A fan-favorite being our weekly Thursday social event, where you can catch up with colleagues over a drink, snack and a game of table tennis.
We want our employees to share in Brighte’s success. You will be given an opportunity to join our Employee Share Option Plans (ESOP).
Snacks galore – who doesn’t love that? Our thoughtfully stocked pantry includes snacks to suit your every mood. Fresh bread, protein bars, popcorn, fresh fruit, chocolate, soy crisps, cookies – you name it! We also offer a carefully curated collection of wines and beer on tap for those looking to unwind or enjoy a social moment.
End-of-trip facilities. Cycle in to work, lock up your wheels and have a shower in our end-of-trip facilities, which come complete with towel service and hair dryers.
Anniversary leave - your dedication at Brighte won’t go unnoticed. Enjoy an extra day to celebrate your work anniversary with us.
As part of our process, we require all candidates to undertake references and background checks, which include a police check, anti-money laundering and bankruptcy checks.
&
About Brighte
Our mission is to make consumer energy resources (CER) affordable and accessible for everyone.
Brighte is building the platform to enable and accelerate the energy transition by making it affordable, easy and less risky to buy and sell energy equipment.
Our founder and CEO, Katherine McConnell, has been awarded Telstra Businesswoman of the year in 2020 as well as winning the Sustainability Crusader award at B&T's 2023 Women Leading Tech Awards. She is a passionate and humble leader who has a human first approach to business.
As a business in 2025, we have been named a AFR Sustainability Leader within the Banking and Finance category and won the inaugural Sustainability Award at the Affies in 2024!
About the Role & Responsibilities
Design and build LLM-powered features and automation workflows including RAG pipelines, agent workflows, and tool-calling integrations.
Contribute to data-flow design, context management, and model selection decisions and participate in technical design reviews and help establish good patterns for prompt engineering, retrieval, and output validation. In the role, you will
Lead the development of AI tools and applications, from inception to implementation.
Improving Existing Systems: Identify and address quality issues in production AI systems. Help migrate ad-hoc LLM integrations toward more maintainable, testable service boundaries. Flag and help address technical debt in AI workflows.
Reliability, Observability & Evaluation: Implement and contribute to evaluation frameworks for AI systems in production. Instrument AI features with meaningful observability: token consumption, latency, retrieval quality, and error rates. Help define quality baselines and monitor AI system performance over time.
Compliance & Data Handling: Build AI features in line with Brighte's data handling policies and relevant regulatory requirements (Australian Privacy Act, CDR, APRA CPS 234). Work with Risk and Compliance stakeholders to ensure AI-influenced decisions are appropriately logged and explainable. Apply security best practices including PII redaction and prompt injection awareness.
Collaboration & Mentorship: Collaborate closely with product, data, and engineering peers to deliver AI features. Share knowledge of AI design patterns with the team. Provide thoughtful code reviews and contribute to engineering best practices for AI systems.
What You’ll Bring
5+ years of software engineering experience, with at least 2 years building and operating LLM or AI-powered systems in production – experience working in a fintech, lending or payment business is highly advantageous
Solid understanding of LLM integration patterns: RAG architecture, prompt engineering, embedding models, vector databases, and output validation
Hands-on experience with workflow automation platforms (n8n, Temporal, or similar) in a production context
Working knowledge of AWS Bedrock, or experience integrating multiple LLM providers
Awareness of AI compliance considerations in regulated environments, data handling, audit logging, and explainability basics
You have an AI-first mindset, you proactively look for opportunities to apply AI thoughtfully and evaluate model outputs critically
What's in it for you?
Flexible working arrangements to suit individual needs and a hybrid work model. Our office is designed for collaboration, creativity and balance between office engagement and remote flexibility. We work in office 3 days a week and 2 WFH.
Free lunch! Yes, there is such a thing! Kickstart your week with our Monday Mingle meaning lunch on us and great company. From tacos, to sushi, to charcoal chicken, it's a delicious way to catch up, unwind and connect.
Get social. We host a range of social activities at Brighte. A fan-favorite being our weekly Thursday social event, where you can catch up with colleagues over a drink, snack and a game of table tennis.
We want our employees to share in Brighte’s success. You will be given an opportunity to join our Employee Share Option Plans (ESOP).
Snacks galore – who doesn’t love that? Our thoughtfully stocked pantry includes snacks to suit your every mood. Fresh bread, protein bars, popcorn, fresh fruit, chocolate, soy crisps, cookies – you name it! We also offer a carefully curated collection of wines and beer on tap for those looking to unwind or enjoy a social moment.
End-of-trip facilities. Cycle in to work, lock up your wheels and have a shower in our end-of-trip facilities, which come complete with towel service and hair dryers.
Anniversary leave - your dedication at Brighte won’t go unnoticed. Enjoy an extra day to celebrate your work anniversary with us.
As part of our process, we require all candidates to undertake references and background checks, which include a police check, anti-money laundering and bankruptcy checks.
&
💡 Quick Summary
Seeking a career-building opportunity? The AI Automation Engineer position is now open for candidates interested in the Work from home Jobs sector. This role in Sydney offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.