Applied AI Engineer

1 week ago

Central Region, Singapore Anypear Full time $72,000 - $144,000 per year

Anypear is a headhunting and recruitment agency connecting New Zealand and Australian businesses with top overseas talent for remote roles.

We are looking for an insightful and innovative Applied AI Engineer to help our client, a UK based YouTube Media Company, put data and technology at the heart of decision making. Reporting directly to the Director of Data and Technology, you'll be responsible for building agentic workflows and data pipelines to optimise YouTube creators' performance and growth.

Key Responsibilities

  • Proactively research, plan and deploy agentic AI workflow initiatives in Python (ideally using Lang Graph) that deliver high business impact and conduct regular maintenance, monitoring and updates.
  • Partner with non-technical team members to identify bottlenecks and translate them into technical specifications for AI agents.
  • Define and track success metrics (ROI, time saved, viewer growth) for deployed workflows to demonstrate value to the leadership team.
  • Explain and demonstrate the business impact of AI agent implementation to help the team migrate and navigate new AI adoptions.
  • When required, contribute to the development, testing and maintenance of fast, reliable data pipelines.

What your first 6 months may look like:

  • Launch an internal agentic tool, aimed at improving efficiency and quality.
  • Improve the speed and reliability of our data pipelines.

Must Have

  • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics or STEM subject.
  • Experience - Minimum of 3 years in an AI/ML/Data Engineer position.
  • English fluency
  • Communication skills (especially technical points to non-technical audience)
  • Ability to quickly & effectively prototype
  • Keen interest in applying AI to business problems

AI/ML

  • Knowledge of applying LLMs and developing, testing and deploying agentic systems in Python (ideally LangGraph)
  • Deep knowledge of Python and relevant libraries (LangChain, LangGraph, FastAPI, Pydantic, etc)

Data Engineering

  • Knowledge of designing, building, testing, deploying and maintaining data pipelines using Airflow (and ideally Cloud Composer)

DevOps

  • Good understanding of DevOps processes (Docker, CI/CD in GitHub actions, deploying in GCP)
  • Good understanding of GCP (especially Cloud Composer, Cloud Run, Google App Engine)
  • Deep knowledge of version control (GitHub)

Nice to have

  • Developing/deploying/testing APIs & RAG systems.
  • Experience in the digital content or media sector (ideally YouTube).
  • Experience mentoring junior team members.

Perks and Benefits

  • Remote Role, flexible hours, overlap with UK timezone required.
  • Opportunity to join an exciting, well-funded and fast-growing creator economy business.
  • World-class creative culture
  • Competitive salary

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