GenAI Engineer for Enterprise LLM Systems

Onebyzero; Sydney; On-site; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

AWS partnership access

Frontier AI tooling access

Job summary

OneByZero is building agentic AI systems for enterprise clients across Asia Pacific, using AWS as the core platform. We are seeking an Applied AI Engineer with 3–4 years of experience to shape end-to-end GenAI solutions and mentor teams in production‑ready design.

You will lead architecture reviews, implement RAG pipelines, and drive multi-agent deployments with a strong coding discipline and client-facing delivery approach.

Qualifications

• 3–6 years of experience in ML engineering, LLMs, or model development roles.
• Hands-on experience with CPT, SFT, LoRA, or QLoRA on LLMs.
• Strong Python programming skills. Ability to write clean, testable, production-ready code.
• Experience running model evaluation and benchmarking pipelines in a structured way.
• Solid understanding of transformer architectures and how fine-tuning affects model behaviour.
• Experience deploying fine-tuned and pre-trained models to cloud environments with attention to cost and latency.
• Experience with AWS-native GenAI building blocks and secure enterprise deployments.
• Experience with vector databases/search engines and retrieval optimization.
• Consulting or client-facing delivery experience.

Responsibilities

• Design and contribute to end-to-end LLM system architecture for real-world enterprise use cases (from requirements to production).
• Pre-train, fine-tune LLMs and domain-specific models using techniques such as CPT, SFT, LoRA, and QLoRA for client-specific use cases.
• Design and run model evaluation pipelines to benchmark performance, accuracy,and cost across different fine-tuning approaches.
• Optimise models for latency, throughput, token efficiency, and inference cost in production environments.
• Work alongside agent orchestration and architecture teams to integrate fine-tuned models into multi-agent pipelines.
• Implement prompt versioning, rollback strategies, and model monitoring to ensure reliability post-deployment.
• Translate business requirements from client engagements into model adaptation strategies with clear success criteria.
• Contribute to internal knowledge sharing on fine-tuning best practices, tooling, and emerging techniques.
• Define enterprise integration patterns for GenAI systems (identity/access controls, auditability, data boundaries, governance, and compliance alignment).
• Improve production reliability: latency/throughput optimization, token efficiency, cost control, and robust failure handling.
• Collaborate with cross-functional stakeholders (engineering, data, product, client teams) to deliver high-impact solutions on tight timelines.
• Contribute hands-on code, perform code reviews, and raise the engineering bar through strong software fundamentals.

Skills

ML engineering

LLMs

Python

Model evaluation

Cloud deployment

AWS GenAI

Docker/Kubernetes

Vector databases

RAG pipelines

System design

Tools

AWS Bedrock

OpenSearch

Lambda

ECS/EKS

Docker

Kubernetes

Pinecone

Weaviate

Milvus

FAISS

Job description

OneByZero is building agentic AI systems for enterprise clients across Asia Pacific, using AWS as the core platform. We are seeking an Applied AI Engineer with 3–4 years of experience to shape end-to-end GenAI solutions and mentor teams in production‑ready design.

You will lead architecture reviews, implement RAG pipelines, and drive multi-agent deployments with a strong coding discipline and client-facing delivery approach.