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Ai engineer

Melbourne
Hays
Posted: 18 December
Offer description

Exciting opportunity for AI Archiect role with Education Client.

We are seeking an experienced ML/AI Engineer

with a proven track record of building and deploying production LLM systems. The role involves end-to-end ownership of architecture, coding, and deployment, with a strong focus on retrieval-augmented generation (RAG), agentic workflows, and enterprise-grade compliance.


6 months extendable contract



Excellent daily rates ($1000 plus super)



Education /Commercial Experience


Your new role

Key Responsibilities

* Select and optimize models, design RAG strategies, and balance cost/performance trade-offs.
* Build robust data pipelines for ingestion, chunking, embeddings, retrieval, and generation.
* Design multi-step agentic workflows with tool integration (MCP-compatible).
* Implement both automated and manual evaluation frameworks.
* Configure guardrails, PII filters, and enterprise security controls.
* Deploy containerized solutions with monitoring and observability.
* Produce clear documentation for system handover and continuity

What you'll need to succeed

Required Skills & Experience

* Production LLM systems:

At least one shipped, enterprise-scale deployment
- Programming & infra:
- Python, Docker, Terraform, CI/CD, serverless (ECS, Lambda).
- LLM orchestration:

LangChain, LlamaIndex, or similar frameworks.
- RAG implementation:

Vector databases (pgvector, OpenSearch, Pinecone, FAISS).
- Cloud AI services:

AWS (Bedrock, SageMaker) and/or Azure (OpenAI, Azure ML).
- Evaluation frameworks:

Promptfoo, Ragas, or custom-built solutions.
- Security & compliance:

KMS, VPC, private endpoints, OIDC, enterprise compliance.
- Model tuning:

Fine-tuning with LoRA/PEFT.
- Retrieval optimization:

Hybrid approaches (BM25 + dense re-ranking).
- MLOps tooling:

Databricks and modern ML lifecycle management.

What you'll get in return

An opportunity to work with our reputed educational client to work on meaningful projects

Your initial 6-12 months of tenure in this role will contain around Azure, AI Development.

The progression plan for the position will eventually.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV to or call us now.

If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career.

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