AI Engineer

PRA; Sydney; Hybrid; AUD 120,000 - 240,000; Full time

Benefits offered by this job

AWS certifications

Hybrid in Sydney

Career growth

Job summary

PRA in Sydney is hiring for Senior AI Engineer, AI Engineering Lead and Senior AI Engineering Lead to advance production-ready LLM applications in financial services. You’ll work on cutting-edge models and agent workflows, delivering robust, governed AI solutions.

Hybrid in Sydney with on-site time, strong Python, and hands-on AWS Bedrock/SageMaker experience are essential. Senior roles include platform ownership and team growth opportunities within a dynamic engineering community.

Qualifications

• Senior AI Engineer: 3–6 years, including 1–2+ years building ML or GenAI.
• Lead: 6–10 years, including 3+ in ML/GenAI.
• Senior Lead: 10–15 years, typically with 4+ in ML/GenAI.
• Strong Python and software engineering fundamentals.
• Hands-on LLM work on AWS Bedrock or SageMaker AI.

Responsibilities

• Build LLM-powered applications and agentic workflows in Python on Bedrock and AgentCore.
• Engineer retrieval and context: ingestion, chunking, embeddings, hybrid search, MCP servers.
• Make quality measurable with eval datasets, automated evals and regression tests.
• Run AI like software with IaC, CI/CD, tracing, cost monitoring, guardrails, and audit logging.
• At Lead level and above: own AI platform architecture and grow a team.

Skills

Python

GenAI

ML production

RAG & embeddings

Software engineering

Tools

AWS Bedrock

SageMaker

AgentCore

LangGraph

Strands Agents

Job description

PRA has been engaged to build out three engineering tracks across the financial services sector for a client in Sydney. Hiring at three levels: Senior AI Engineer, AI Engineering Lead and Senior AI Engineering Lead

You’ll take LLM applications and agents past the prototype and into production, in an environment where they have to be trustworthy.

The role

• Build LLM-powered applications and agentic workflows in Python on Amazon Bedrock and AgentCore, using foundation models including Claude and frameworks such as Strands Agents or LangGraph
• Engineer retrieval and context: ingestion, chunking, embeddings, hybrid search, and MCP servers connecting models to enterprise tools and data
• Make quality measurable with evaluation datasets, automated evals and regression tests for prompts, retrieval and agent behaviour
• Run AI like real software with IaC, CI/CD, tracing and cost monitoring, plus guardrails, PII handling and audit logging
• At Lead level and above: own AI platform architecture, take use cases such as customer servicing, lending and financial crime to production, and grow a team

What you’ll bring

• Senior AI Engineer: 3-6 years, including 1-2+ years building ML or GenAI. Lead: 6-10 years, including 3+ in ML/GenAI. Senior Lead: 10-15 years, typically with 4+ in ML/GenAI
• Strong Python and software engineering fundamentals
• Hands-on LLM work on AWS (Bedrock or SageMaker AI), covering RAG, prompt design and tool use
• At least one AI solution you’ve taken past proof of concept into production and kept running
• Financial services or regulated industry experience is preferred

Culture

• An AI engineering community at the front of what these platforms can do, sharing what works
• Mentoring and coaching at every level
• Hybrid in Sydney, with time on site with the team at agreed intervals

What’s on offer

• $120k-$240k package, depending on level
• Permanent, or contract at $800-$1,200 per day
• Support to gain AWS AI and ML certifications
• A fast process: CVs reviewed within 48 hours and no take-home or live coding test