Senior AI Engineer for Agentic Legal Systems

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

Job summary

MinterEllison is seeking an experienced AI engineer to own end-to-end production AI systems in a regulated legal environment. You will lead orchestration across agents, evaluation, deployment, and governance interfaces to support expert oversight.

The role blends research-grade modelling with production platform engineering, offering direct collaboration with partners and subject-matter experts to translate legal judgement into robust, observable AI systems on AWS.

Qualifications

• Production experience with LLM agent frameworks and tool-calling architectures.
• Rigorous evaluation discipline for model changes.
• Experience with Bayesian inference or networks.
• Strong Python software engineering capability.
• Experience with React and TypeScript for expert interfaces.
• Production AWS experience, with security and identity for regulated data.
• Ability to work with non-technical experts.
• Understanding governance for AI in regulated environments.

Responsibilities

• design and build multi-agent orchestration, Model Context Protocol servers and tooling for production legal workflows
• create deterministic evaluation harnesses and regression suites that make agent quality measurable
• implement OpenTelemetry tracing to improve the observability of agent runs
• model regulatory reasoning through Bayesian networks and related probabilistic techniques
• develop expert-facing interfaces that allow legal specialists to inspect and edit regulatory rules
• deploy and operate secure, observable and supportable platforms on AWS
• work directly with partners and subject‑matter experts to translate legal judgement into robust technical systems
• contribute to appropriate governance and assurance for AI used in regulated work.

Skills

LLM agent frameworks

Tool-calling architectures

Evaluation discipline

Bayesian inference

Python

React

TypeScript

Governance in AI

AWS security/identity

Tools

AWS

OpenTelemetry

Job description

MinterEllison is seeking an experienced AI engineer to own end-to-end production AI systems in a regulated legal environment. You will lead orchestration across agents, evaluation, deployment, and governance interfaces to support expert oversight.

The role blends research-grade modelling with production platform engineering, offering direct collaboration with partners and subject-matter experts to translate legal judgement into robust, observable AI systems on AWS.