Senior AI Product Engineer

Relevance AI
Sydney
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Product judgment","Customer focus","Mentorship","Technical leadership","Operating with ambiguity"]

Build AI-native, agentic products that thousands of customers rely on daily. You’ll own problems end-to-end—from idea and implementation through launch and iteration—designing intelligent workflows powered by LLMs, tools, memory, and agent collaboration. Work in small, fast-moving teams doing rapid prototyping, continuous shipping, evals, and root-cause fixes, while partnering with product, design, and customer-facing teams. Use frontier models and AI coding agents to raise quality and delivery speed.

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FursaFursa
Relevance AI
Relevance AI
2 days ago

Senior AI Product Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build AI-native, agentic products that thousands of customers rely on daily. You’ll own problems end-to-end—from idea and implementation through launch and iteration—designing intelligent workflows powered by LLMs, tools, memory, and agent collaboration. Work in small, fast-moving teams doing rapid prototyping, continuous shipping, evals, and root-cause fixes, while partnering with product, design, and customer-facing teams. Use frontier models and AI coding agents to raise quality and delivery speed.
Location: Sydney
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build frontier AI-native/agentic products used by thousands of customers every day.
  • •Own problems end-to-end from idea through implementation, launch, and iteration.
  • •Design intelligent workflows powered by LLMs, tools, memory, and agent collaboration.
  • •Partner with product, design, and customer teams to shape what to build next.
  • •Raise the engineering bar through mentorship and thoughtful technical decision-making while exploring new AI models, tools, and techniques.

Pay and Benefits

Perks:EquityParental LeaveLearning BudgetHealth Insurance

Key Requirements

  • •Hands-on experience using AI coding agents (e.g., daily use) and iterating on outputs with strong judgment to maintain quality.
  • •Comfort operating across the full stack (front-end, back-end, infrastructure, and AI systems) with solid understanding of distributed systems fundamentals.
  • •Ability to ship continuously while balancing pace and reliability, including taking evals, on-call responsibility, and performing root-cause fixes.
  • •Strong product thinking: act like a product owner by focusing on customer outcomes and explaining who uses your work and why it mattered.
  • •Experience designing and orchestrating agentic workflows using LLMs, tools, memory, and agent collaboration (or equivalent AI-native building).
Experience:AI-native developmentAgentic automationLLMsFront-endBack-end
Skills:Product judgmentCustomer focusMentorshipTechnical leadershipOperating with ambiguity
Tech Stack:ReactVue.jsTypescriptExpress.jsNode.jsPythonPostgreSQLMongoDBAWSVercelTerraformKubernetesClaude CodeCursorCodex

Company Brief

Relevance AI
Provides a no-code platform to build and manage AI agents and agent teams for automating reasoning tasks, enabling businesses to create workflow automation, semantic search, and vector-based AI applications.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Growth: Growth Stage Startup
Funding: Series B
Headquarters: Surry Hills, Australia
Founded: 2020
Glassdoor
Glassdoor: 4.4
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