Staff AI Product Engineer

Relevance AI
Sydney
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Product thinking","Judgement","Mentorship","Cross-team collaboration","Reliability"]

Build and lead core product engineering for autonomous AI agents with increasing real-world autonomy. Set technical direction on load-bearing decisions for frontier AI products, deploy onto the hardest problems, and raise reliability and AI-native engineering standards across teams. Own the systemic work needed to make autonomous agents trustworthy in production, partner with product/design/customer teams to ship high-impact outcomes, and mentor engineers while iterating rapidly with evals, on-call, and root-cause fixes.

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FursaFursa
Relevance AI
Relevance AI
2 days ago

Staff 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 and lead core product engineering for autonomous AI agents with increasing real-world autonomy. Set technical direction on load-bearing decisions for frontier AI products, deploy onto the hardest problems, and raise reliability and AI-native engineering standards across teams. Own the systemic work needed to make autonomous agents trustworthy in production, partner with product/design/customer teams to ship high-impact outcomes, and mentor engineers while iterating rapidly with evals, on-call, and root-cause fixes.
Location: Sydney
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Set technical direction for load-bearing decisions across frontier AI products, unblocking teams and raising design/review standards.
  • •Deploy to the company’s hardest problems and ship high-leverage improvements quickly.
  • •Define AI-native engineering practices, including agentic workflows, context engineering, and eval discipline for engineering adoption.
  • •Improve trustworthiness of autonomous agents in production by turning incident patterns into systemic fixes.
  • •Partner with product, design, and customer teams to decide what to build, eliminate low-value work, and mentor engineers.

Pay and Benefits

Equity and Bonus:Equity
Perks:EquityLearning BudgetParental LeaveHealth Insurance

Key Requirements

  • •Operate at the frontier of coding agents, using AI to decompose problems, orchestrate build-run loops, and improve evaluation/review quality.
  • •Think like a product owner and deliver customer outcomes; explain who uses your work and why it mattered.
  • •Bring deep engineering craft with strong judgement, particularly in backend, APIs, and distributed systems.
  • •Improve teams beyond your own by unblocking others and setting standards others adopt.
  • •Ship continuously with reliability, taking evals, on-call, and root-cause fixes seriously.
Experience:AIAgentic automation
Skills:Product thinkingJudgementMentorshipCross-team collaborationReliability
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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