Senior AI Systems Architect

7 days ago

Sydney, New South Wales, Australia beBeeArtificial Full time $120,000 - $150,000
Job Opportunity

About Us

  • We are developing an innovative Large Language Model (LLM) implementation that provides tangible value to compliance and legal teams.

We offer a cutting-edge platform empowering legal, compliance, and marketing teams to revolutionize their operations with 80% faster reviews and 4x productivity gains.

We are at the forefront of the AI revolution in enterprise tech, leveraging our expertise to drive growth and impact.

Our goal is to provide technology that enhances customer trust and protects consumer rights.

The Role

As an AI Engineer, you will design and implement hybrid recall methods integrating cutting-edge search databases with large language models.

You will play a key role in shaping our platform's ability to detect compliance risks in real-time, designing intelligent systems that power critical decision-making for enterprise teams.

This is an ideal opportunity for someone who wants to own high-impact systems in a product-led, AI-first company and contribute to defining how cutting-edge models are applied to real business challenges.

Key Responsibilities
  • Own the design and implementation of hybrid search methods combining vector databases and LLMs.
  • Lead the optimization of LLM pipelines and retrieval strategies for high-recall compliance detection.
  • Architect and maintain search infrastructure for scalable, low-latency query handling.
  • Design benchmarking systems and drive continuous model evaluation and tuning.
  • Work across structured and unstructured data to surface hidden compliance risk signals.
  • Partner with product and engineering to bring new ML features to life, end-to-end.
What You'll Bring

We are looking for someone with:

  • Deep expertise in machine learning and/or search engineering, especially in production environments.
  • Proficiency in Python and writing clean, maintainable code.
  • Hands-on experience with LLMs, RAG architectures, and real-time inference systems.
  • Experience designing, deploying, and maintaining ML systems in production.
  • Experience working across back-end systems and search infrastructure.
  • Experience building NLP evaluation systems.

Bonus points if you have:

  • Data Engineering Experience.
  • Experience with search technologies.
  • A background building benchmarking systems.
  • FastAPI framework knowledge.
  • Startup or high-growth environment experience.
  • AWS cloud platform expertise.
  • Research background in ML or search.
  • Experience with DevOps and CI/CD tools.
Growth and Impact

We aim to lead the evolution from traditional SaaS to AI-powered workflows, build enterprise-grade AI technology that major institutions trust and love, empower humans to focus on strategic work by eliminating tedious compliance reviews, and create technology that builds customer trust and protects consumer rights.

Benefits and Culture

We offer:

  • Remote work arrangements for exceptional candidates.
  • Competitive salary and equity.
  • Rapid career growth opportunities.
  • Collaborative, engineering-driven culture focused on learning and development.

We believe bold ideas come from diverse perspectives and are committed to building a team that reflects the world we work in; across gender, background, orientation, ability, and experience. If this role sparks your interest, let's chat.

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