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4 дня назад

Lead AI Engineer (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Australia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Lead AI Engineer (Fintech): Building Bridgit's multi-agent orchestration platform, production-ready RAG pipelines, and AI integrations for lending products with an accent on scalable architecture, context engineering, security, and governance. Focus on designing agent memory and GraphRAG systems, implementing evaluation and observability loops, and establishing secure AI development patterns across engineering teams.

Location: Sydney, Australia; hybrid

Company

hirify.global is a non-bank fintech lender helping Australians access property equity through digital lending and Buy Now, Sell Later solutions.

What you will do

  • Lead a small engineering team building ATLAS, a multi-agent orchestration platform for hirify.global's lending products.
  • Define and implement AI platform architecture, production RAG pipelines, enterprise integrations, and API-driven connections to databases and external tools.
  • Design memory layers, vector stores, knowledge graphs, GraphRAG retrieval, multi-agent protocols, handoffs, and shared state management.
  • Build evaluation loops, logging, error-correction guardrails, monitoring, and observability for quality, safety, latency, cost, and reliability.
  • Develop secure agent sandboxes, reproducible development environments, and controls for secrets, PII, data protection, and regulatory obligations.
  • Standardise AI coding tools and mentor engineers in safe, effective AI-enabled development practices.

Requirements

  • 6+ years of experience in AI/ML engineering, MLOps, machine learning infrastructure, or data science.
  • Experience designing and building agentic AI solutions involving tool use, workflow orchestration, routing, memory, and multi-agent frameworks such as LangGraph, Semantic Kernel, or AutoGen.
  • Experience deploying AI systems to production with attention to scalability, cost optimisation, observability, security, and governance.
  • Strong software engineering, architecture, machine learning lifecycle, model evaluation, monitoring, vector database, and inference optimisation experience.
  • Working knowledge of AI safety standards including NIST AI Risk Framework and ISO 42001.
  • Ability to communicate architectural risks clearly to cross-functional teams and lead technical decisions.

Nice to have

  • Experience with Agno or other open-source agent frameworks.
  • Knowledge graph construction, GraphRAG, and graph database management experience.
  • Experience in regulated fintech or a high-growth technology environment.

Culture & Benefits

  • Hybrid work from the Sydney location.
  • Competitive remuneration and access to office facilities.
  • Birthday leave plus an additional paid day for life events, celebrations, or mental health recovery.
  • Remote work from a location of choice for two weeks each year.
  • Professional development initiatives and internal learning opportunities.
  • Regular social events throughout the year.

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