Senior AI Engineer

Location: Sydney
Discipline: Technology
Job type: Permanent
Salary: 150000 to 180000
Contact name: Nick Paisley

Contact email: nickp@talentlink.com.au
Job ref: 1421535
Published: about 16 hours ago
Startdate: ASAP
Senior AI Engineer - Production Systems (LLMs | AWS | Databricks)
 
We're partnering with a large enterprise at a pivotal stage of its AI journey.
They need a Senior Software Engineer who understands AI deeply enough to build safe, reliable, production-grade systems — not prototypes. Someone who can translate AI capability into scalable, governed solutions that solve real business problems.
 
This role sits at the intersection of AI engineering, platform architecture and cross-functional delivery.
 
 
What You'll Do
  • Design and ship production AI systems using LLMs and agentic architectures
  • Build and operate LLMOps / AgentOps (prompt management, automated evals, red-teaming, human-in-the-loop)
  • Engineer end-to-end AI pipelines: ingestion, embeddings, vector stores, retrieval (RAG), caching and quality controls
  • Deploy safely using canary releases, A/B experiments and controlled rollouts
  • Implement observability (metrics, logs, traces) and participate in incident response
  • Partner across Product, Security, Engineering and Leadership to deliver trusted AI solutions
 
Essential Experience
  • 3+ years delivering production-grade AI systems
  • Hands-on with LLMs, RAG, tool/function calling, planning, memory
  • Deploying AI on AWS and Databricks (MLflow / Mosaic AI)
  • Strong Python engineering capability (FastAPI preferred)
  • CI/CD, model registries and secure cloud architecture
  • Security fundamentals (IAM, secrets, PII handling, auditability)
Technical Stack
 
- Python | FastAPI | React + TypeScript
- Databricks | Vector DBs (pgvector or equivalent)
- AWS cloud architecture
- Advanced RAG + guardrails
- CI/CD + automated evaluation frameworks
 
 
We're Looking For Someone Who
  • Thinks beyond experimentation and understands production risk
  • Designs AI systems that are safe, observable and scalable
  • Balances speed with governance and reliability
  • Can communicate complex architecture clearly across technical and executive audiences
If you want to build enterprise AI that actually works — safely, reliably and at scale — we'd love to speak with you.