Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

This is an expression of interest for an AI Engineer role focused on client delivery and internal capability building. The role involves designing, building, and shipping production-grade AI systems for clients while contributing to the development of AI Labs' reference architectures, tooling, and engineering standards. This is a hands-on engineering position, not a research or prompt-engineering role, focused on building robust AI systems for enterprise environments.

Responsibilities

Design and build production-grade AI solutions including agentic systems, memory systems, LLM-powered features, and intelligent automation for enterprise clients.
Architect cloud-native AI systems on AWS, Azure, or GCP with robust DevOps/LLMOps pipelines for scalability and reliability.
Integrate AI capabilities into existing enterprise platforms through well-designed APIs and data pipelines.
Lead AI technical delivery within cross-functional squads, translating complex AI concepts into high-impact outcomes.
Implement responsible AI practices including red-teaming, bias testing, evaluation harnesses, and human-in-the-loop design.
Contribute to Bilue’s reference architectures for common delivery patterns.
Help define and evolve engineering standards for AI Labs work.
Build reusable tooling, accelerators, and skills that improve project efficiency and reliability.
Participate in model evaluation, cost optimisation, and architecture reviews.
Share knowledge across the engineering team through documentation, tech talks, and hands-on mentoring.

Requirements

Demonstrable experience delivering AI or GenAI solutions in a production environment.
Strong problem-solving ability and analytical mindset for ambiguous requirements.
Ability to communicate technical concepts clearly to non-technical stakeholders and client executives.
Genuine systems thought leadership.
Collaborative, low-ego approach, working across teams, clients, and contexts with adaptability.
Comfort operating in a fast-moving environment across multiple clients and industries.
Strong opinions, weakly held - curious mind with the ability to rapidly evolve when faced with contradictory evidence.
Unrestricted working rights in Australia.

Skills

Python programming
TypeScript programming (plus)
Java programming (plus)
AI and agentic frameworks (LangChain, AgentCore, LlamaIndex, LangGraph, CrewAI, vector databases, or similar)
Cloud platforms (AWS, Azure, or GCP)
Data engineering fundamentals (SQL, ETL/ELT, distributed systems, handling large and unstructured datasets)
Designing and deploying production AI systems with observability, monitoring, and evaluation
LLMOps practices (prompt versioning, model drift detection, cost monitoring, A/B evaluation)
RESTful APIs
Microservices
Enterprise integration patterns
AWS AI/ML stack (Bedrock, AgentCore, Strands, SageMaker, Lambda, Step Functions) (bonus)
Responsible AI frameworks, bias testing tools, or AI governance practices (bonus)
Consulting or hyper-scaler experience (bonus)
Contributions to open-source AI projects, AI research, or published technical writing (bonus)

Location

Sydney, NSW
Melbourne, VIC

Work Type

Hybrid working
Full-time

Experience Level

Production-grade AI/GenAI delivery experience

Benefits

Monthly anchor days
Team lunches
Annual offsite
Unlimited access to Go1’s learning library
Support from internal performance coach

About the Company

Bilue is a digital consultancy that designs and builds smart, user-friendly technology for well-known Australian businesses.
Culture is people-first and purpose-driven, with a down-to-earth, values-led team.
Offices in Sydney and Melbourne, with a growing presence in Manila.
Values excellence over ego, with low politics and high trust.
A place where delivery people, designers, and engineers connect, with space to grow and have fun.