Senior Data & AI Engineer: Pipelines, Agents & Scale

Sharon AI, Inc

Sydney

Híbrido

AUD 150.000 - 210.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Hybrid working
Birthday leave
Employee Assistance Program (EAP)
Learning & development
Novated leasing
Employee referral rewards
Employee of the month
Global expansion exposure
Impactful work
Collaborative culture

Descripción de la vacante

Sharon AI is seeking a senior Data & AI Engineer to design and ship data pipelines, models and agents end-to-end on our governed platform. You will set high code quality standards and mentor other engineers while tackling complex, open-ended challenges and turning them into reliable, reusable components.

You will lead ingestion and transformation workflows, build AI workflows, ensure observability, and collaborate with stakeholders to translate business needs into scalable data solutions.

Formación

  • 6+ years in data or software engineering, with recent production work on AI or LLM systems.
  • Strong Python and SQL, and hands-on experience with modern data tooling (Databricks, dbt, Spark, Kafka, Airflow or Fivetran) on a major cloud.
  • Experience building with LLM APIs and agent frameworks, including tool use, retrieval and evaluation.
  • Solid engineering practice: version control, CI/CD, testing and infrastructure as code.
  • The judgment to choose the simplest thing that works, and to explain trade-offs to non-engineers.

Responsabilidades

  • Design and build ingestion, transformation and serving pipelines from internal systems and delivery partners into our lakehouse.
  • Build agents and AI workflows on our governed platform: tool use, retrieval over structured and unstructured data, and orchestration.
  • Build evaluation and observability into everything you ship so you can trace and audit every agent’s actions.
  • Contribute to the core data model and the agent tool layer, building components once so many teams can reuse them.
  • Lead technical design on initiatives, review code, and raise the team’s engineering standards.
  • Work directly with business stakeholders to understand the process before you build.
  • Mentor Data & AI Engineers.

Conocimientos

Python
SQL
LLM APIs
Agent frameworks
Code quality

Herramientas

Databricks
dbt
Spark
Kafka
Airflow
Fivetran

Descripción del empleo

Sharon AI is seeking a senior Data & AI Engineer to design and ship data pipelines, models and agents end-to-end on our governed platform. You will set high code quality standards and mentor other engineers while tackling complex, open-ended challenges and turning them into reliable, reusable components.

You will lead ingestion and transformation workflows, build AI workflows, ensure observability, and collaborate with stakeholders to translate business needs into scalable data solutions.

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