AI Innovator and System Architect

7 days ago

Sydney, New South Wales, Australia beBeeSoftware Full time $180,000 - $210,000
Senior Software Engineer Job Overview

We are seeking a highly skilled Senior Software Engineer to lead the design, build, and operation of our experimentation and AI platform. This is an excellent opportunity for a talented engineer to take ownership of key business functions and drive innovation in scalable data-intensive systems.


Main Responsibilities
  • System Development: Build and maintain solutions that power experimentation platform, personalization, dynamic pricing, and related capabilities.
  • Ai Tooling Development: Own best practices for AI Agents and enable other business functions to deploy AI Agents to solve real business problems.
  • System Reliability & Observability: Design and implement robust monitoring, logging, and alerting systems to guarantee high availability and performance. Proactively identify, debug, and resolve production issues to maintain system health.
  • Technical Leadership: Define and establish engineering standards and best practices for the Data Team to follow.

Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field, plus 6+ years of professional software engineering experience, with a focus on scalable data-intensive systems.
  • Proven experience building and deploying applications powered by LLMs, utilizing RAG, prompt engineering, agents, and working with vector databases.
  • Strong foundation in software engineering principles with ability to design, build, and maintain clean, scalable, testable Python-based solutions and internal libraries.
  • Hands-on experience with end-to-end ML lifecycles, ML production deployment, Kubernetes orchestration, and CI/CD pipelines.
  • Deep expertise in Site Reliability Engineering principles and practical experience with modern observability and monitoring tools, and Infrastructure as Code.

Attributes
  • Ownership mindset with the ability to lead ambiguous, cross-functional initiatives to measurable outcomes.
  • Innovative and curious mindset with interest in Generative AI.
  • Commitment to quality and reliability, emphasizing observable, scalable, and resilient production systems.
  • Natural mentor and technical leader who elevates the team and can articulate complex concepts to diverse audiences.

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