Staff AI Engineer at Relyance AI

Sydney, New South Wales, Australia

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Proven staff-level experience in full-stack software development, ideally developing practical and production-ready AI applications or features that utilise Gen AI/ LLMs / RAG
Strong programming skills in Python and Javascript, including experience using AI-assisted coding tools
Deep understanding of foundational models, prompt engineering, and fine-tuning techniques
Understanding of software design, service architecture, and scalable systems
Passion for building AI-enhanced user experiences, not just theoretical ML solutions
Prior start-up or tech company experience is a plus—especially where you’ve worn multiple hats or shaped early products
Bonus: Side projects or open-source contributions involving building AI agents, RAG pipelines, or open-source LLM tooling

Responsibilities

Develop Agents and Multi-agent systems: Design and implement AI agent and extend existing agents with new capabilities. This includes managing the agent’s context (using techniques like sub-agents, retrieval based context management, sliding context windows, etc.)
Develop Tools for agents: Develop complex tools for agents like computer use, browser use, etc
Multi-agent orchestration and tool calling: Research and develop systems on how agents should collaborate, and how agents should call tools
Fullstack development: Build and maintain production-grade APIs and AI-powered features, from backend services to user-facing experiences
Evaluate and improve: Evaluate AI’s performance using evaluations and tests to then iterate on prompts, agent tools and agents orchestration to improve output quality and reliability
Collaborate closely with a visionary product and engineering team
Contribute to our open-source SDKs
Expand internal agent frameworks
Shape the future of AI agent interfaces and infrastructure

Skills

Key technologies and capabilities for this role

Prompt EngineeringAI AgentsMulti-Agent SystemsFull-Stack DevelopmentAPIsMicroservicesLarge Language ModelsRetrievalTool CallingAgent FrameworksOpen-Source SDKs

Questions & Answers

Common questions about this position

What is the work location and arrangement for this role?

The position is hybrid in Sydney, Australia, requiring 3 days in the office.

What skills are required for the Staff AI Engineer position?

Candidates need proven staff-level full-stack experience with Python and Javascript, deep understanding of foundational models, prompt engineering, fine-tuning, and software design for scalable systems.

What does the day-to-day work involve in this role?

The role involves developing AI agents and multi-agent systems, tools for agents, multi-agent orchestration, fullstack development of APIs and features, and evaluating AI performance to improve quality.

What is the company culture like at Relevance AI?

The company is scaling fast with a visionary product and engineering team, focused on building cutting-edge AI agents in a collaborative, innovative environment at the forefront of AI automation.

What makes a strong candidate for this Staff AI Engineer role?

Ideal candidates have staff-level full-stack experience building production AI apps with Gen AI/LLMs/RAG, passion for AI-enhanced user experiences, and startup experience where they've worn multiple hats; bonus for side projects or open-source contributions.

Relyance AI

Data protection and privacy compliance platform

About Relyance AI

Relyance AI specializes in data protection and privacy compliance by using machine learning to create a real-time inventory and map of personal data flows within organizations. Their software-as-a-service (SaaS) platform allows clients to monitor data processing activities, ensuring compliance with privacy regulations. What makes Relyance AI different is its focus on automating data tracking, which reduces manual workflows and compliance risks. The company's goal is to help organizations maintain user trust and meet regulatory requirements effectively.

Mountain View, CaliforniaHeadquarters

2020Year Founded

$60.3MTotal Funding

SERIES_BCompany Stage

Enterprise Software, Cybersecurity, AI & Machine LearningIndustries

51-200Employees

Risks

Emerging competition from platforms like OneTrust and TrustArc.

Frequent updates needed due to evolving AI regulations increase costs.

Complex data privacy laws across jurisdictions challenge universal compliance.

Differentiation

Relyance AI uses machine learning for real-time data flow mapping.

The platform offers asset-level visibility and lineage for sensitive data.

Relyance AI integrates privacy compliance directly into code bases.

Upsides

Raised $32M in Series B funding, enhancing growth and innovation.

Named a 2023 Gartner Cool Vendor in Privacy, boosting credibility.

Growing demand for AI-driven compliance solutions supports market expansion.

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