Full-Time

Staff AI Engineer

Relevance AI

Relevance AI

51-200 employees

No-code platform for autonomous AI agents

No salary listed

Sydney NSW, Australia

Hybrid

Hybrid role requires 3 days on-site per week in Sydney.

Category
AI & Machine Learning (2)
,
Required Skills
LLM
Python
JavaScript
RAG
REST APIs
Requirements
  • Proven staff-level experience in full-stack software development, ideally developing practical and production-ready AI applications or features that utilise Generative AI / Large Language Models / Retrieval-Augmented Generation (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 machine learning solutions.
  • Prior start-up or tech company experience is a plus—especially where you’ve worn multiple hats or shaped early products.
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.
Desired Qualifications
  • Bonus: Side projects or open-source contributions involving building AI agents, RAG pipelines, or open-source LLM tooling.

Relevance AI provides a low-code platform for building and managing teams of autonomous AI agents that handle business tasks such as sales, marketing, and customer support. It works with a visual, no-code designer to create, train, and deploy agents using Workforce (multi-agent system builder) and Invent (text-to-agent generator), and it is model-agnostic, letting users choose among major AI providers. It differentiates itself by empowering non-technical users to orchestrate multiple AI agents and workflows with flexible model options, aimed at both startups and large enterprises. Its goal is to make AI-powered automation accessible at scale, offering a subscription model with a free tier to enable widespread adoption across companies like Activision and SafetyCulture.

Company Size

51-200

Company Stage

Series B

Total Funding

$36.6M

Headquarters

Sydney, Australia

Founded

2020

Simplify Jobs

Simplify's Take

What believers are saying

  • AI agents market grows at 45% CAGR through 2030 per Boston Consulting Group.
  • 40,000 agents created in January 2025 shows strong product-market fit.
  • $24M Series B from Bessemer in May 2025 fuels U.S. and Australia expansion.

What critics are saying

  • Salesforce Agentforce erodes Fortune 500 share via CRM integration in 6-12 months.
  • OpenAI custom GPTs commoditize no-code builder, slashing subscriptions in 12-18 months.
  • G2 reviews cite $349/month pricing driving churn to n8n in 3-6 months.

What makes Relevance AI unique

  • Relevance AI's Workforce enables no-code multi-agent systems for sales and marketing.
  • Invent tool generates AI agents from text prompts without coding.
  • Model-agnostic platform integrates OpenAI, Google, and Anthropic LLMs.

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Benefits

ESOP

AI Productivity Benefit

Parental Leave

Milestone Merch

Food, Drinks & Community

Quarterly Team Events

Social Clubs

Sonder EAP

Growth & Insights and Company News

Headcount

6 month growth

↑ 0%

1 year growth

↑ 4%

2 year growth

↑ 10%
Capital Brief
Jun 24th, 2025
Relevance AI secures $38M Series B

Clive Dickens' advisory firm Meliora has made its first investments in AI startups Fluency and Relevance AI. These investments are part of Meliora's strategy to enhance its consulting business. Although the investment values are small, they are among the firm's initial moves since its launch three weeks ago. Relevance AI recently secured $38 million in Series B funding. Meliora has also invested in Quickfind AI, Blunge, and Alludium, with its venture arm backing 17 companies totaling around $1.5 million.

BestTechie
May 6th, 2025
Tech Tidbits: A New Era of AI and Gadgets

In the realm of AI agents, Relevance AI has secured a whopping $24 million to help businesses build AI agents that could soon be as common in the workplace as that one coworker who always microwaves fish for lunch.

UBOS
May 6th, 2025
Relevance AI Secures $24M Series B Funding to Advance AI Agent Development

Relevance AI, a dynamic tech startup based in San Francisco and Sydney, has recently secured $24 million in Series B funding.

Yahoo Finance
May 6th, 2025
Relevance AI raises $24M for AI agents

Relevance AI, a startup developing an AI agent "operating system," raised $24M in Series B funding led by Bessemer Venture Partners, with participation from King River Capital, Insight Partners, and Peak XV, bringing its total funding to $37M. The company plans to enhance its AI agent capabilities and expand in Australia and the U.S. Relevance introduced "Workforce," a no-code multi-agent system, and "Invent," a tool for creating AI agents using text prompts.

Rocketnews
May 6th, 2025
Relevance AI raises $24M to help businesses build AI agents

Relevance AI, a San Francisco- and Sydney-based startup developing an AI agent "operating system" to enable businesses to build teams of AI agents, has raised $24 million in Series B funding led by Bessemer Venture Partners.