Lead AI Engineer

7 days ago

Sydney, New South Wales, Australia beBeeArtificialIntelligence Full time $120,000 - $180,000

AI Engineering Opportunities

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This role will see you leveraging your expertise in Generative AI and machine learning to drive innovation across various industries. You'll be responsible for designing, deploying, and refining advanced generative AI solutions.

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As an accomplished AI Engineer, you'll work closely with cross-functional teams to translate complex AI concepts into strategic business solutions. Your analytical skills and ability to convey technical concepts clearly will be crucial in this role.

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Some of the key responsibilities of this position include:

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  • Leading the design, building, and deployment of production-grade AI solutions focusing on Generative AI, LLMs, RAG patterns, and sophisticated agentic workflows.">
  • Architecting cloud-native AI systems across AWS, Azure, GCP ensuring cost-efficient scalability via LLMOps/DevOps pipelines.">
  • Overseeing the development and optimization of data pipelines, APIs, and integration layers to support complex AI use cases.">
  • Driving the evaluation, fine-tuning, and operationalization of models using both open-source and enterprise-grade AI tools.">
  • Collaborating cross-functionally to translate complex AI concepts into strategic business solutions and drive implementation.">
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Key qualifications for this role include:

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  • 4+ years of experience delivering data-driven AI and GenAI solutions in a business environment.">
  • Strong problem-solving abilities and a keen analytical mindset.">
  • Ability to convey technical concepts clearly to non-technical stakeholders.">
  • Understanding of business processes and the ability to translate business problems into data-driven solutions.">
  • Ability to work collaboratively in a team-oriented environment.">
  • Strong programming skills in Python; familiarity with Java is a plus.">
  • Experience with data manipulation and analysis using libraries like pandas, NumPy, and SciPy.">
  • Hands-on experience with AI and Agentic frameworks (LangChain, LlamaIndex, vector databases, LangGraph, CrewAI etc).">
  • Working expertise and strong understanding of Cloud platforms (AWS, Azure, GCP) and containerisation technologies (Docker, Kubernetes).">
  • Solid understanding of data engineering and pipelines (SQL, ETL/ELT, distributed systems) to handle large datasets and unstructured data, data cleaning, and preprocessing.">
  • Understanding of SQL and NoSQL databases.">
  • Familiarity with RESTful APIs and microservices.">
  • Experience designing production grade AI systems.">
  • Experience integrating AI into enterprise systems (ERP, CRM, BI) is a plus.">
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Benefits of this role include:

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  • The opportunity to work with leading organisations and cutting-edge technology that challenge and expand your expertise.">
  • Flexibility means trusting you to choose when, where, and how you work balancing what's best for you, your team, and your clients to grow and thrive together.">
  • Clear paths for career progression supported by continuous learning and leadership development.">
  • Generous leave entitlements including four weeks' annual leave and float public holidays to support your work-life balance.">
  • A world-class parental leave policy offering up to 26 weeks of leave for caregivers, supporting your family and personal life.">
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Join our community of experts who value bold ideas, collaboration, and lasting change.

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