Full Stack Developer

5 days ago

Manila, National Capital Region, Philippines Aurecon Full time

Just imagine your future with us…

At Aurecon we see the future through a very different lens. Do you?

Innovation, eminence and digital are at the heart of everything we do. Are you excited about the future?

Are you driven by the opportunity to work on some of the most challenging and complex projects around the world and to learn from the best? We are.

Diversity is at the core of everything we do. We work together to create a culture based on respect, trust and inclusiveness. Our differences are what fuel our creativity.

What you will do

We know the work we do is vital in assisting Aurecon's business globally. Here are the key things you will do to "bring ideas to life".

  • Design and implement end-to-end data pipelines for ingesting, processing, and structuring unstructured data (documents, PDFs, images) for AI consumption.
  • Build and optimise vector database systems and embedding pipelines for large-scale similarity search and RAG applications.
  • Develop robust data orchestration workflows using graph-based execution frameworks to support complex AI data requirements.
  • Implement data quality, governance, and lineage tracking systems specifically tailored for AI/ML workloads.
  • Design and build MCP-compatible data services and tools that integrate seamlessly with AI applications.
  • Collaborate with ML engineers to prepare and curate datasets for LLM evaluation, fine-tuning, and performance monitoring.
  • Establish best practices for incremental data updates, versioning, and metadata management in RAG systems.
  • Build/operate monitoring and alerting systems for data pipeline health, quality metrics, and AI model data drift.
Capabilities

Firstly, strong sense of responsibility, flexibility, and adaptability to varying request. Demonstrate excellent time management and organizational skills. As part of a new team, you will have the opportunity to shape this role and influence its evolution.

You will also need the following capabilities:

Qualifications (Required)
  • Bachelor's degree in computer science, Engineering, or related field (or equivalent experience)
  • 3+ years of experience in data engineering with at least 1 year focusing on AI/ML data systems
  • Demonstrated experience building production data systems that support AI applications
  • Strong problem-solving abilities and self-directed learning mindset

Excellent communication skills for technical and non-technical audiences

Nice to have
  • Experience with Model Context Protocol (MCP) implementations and tool integration
  • Knowledge of data preparation for LLM fine-tuning and dataset curation
  • Familiarity with multi-modal data pipelines (text, image, video, audio)

Experience building developer-facing data APIs and services

Benefits
  • Flexibility - 1x every fortnight reporting in the office
  • Wellbeing - we prioritise your health
  • Recognition - your impact matters
  • Family - support for modern families and carers
  • Community - give back through volunteering days
  • Career development - learn, lead and shape your career
About Aurecon

We've re-imagined engineering. Aurecon is an engineering and infrastructure advisory company, but not as you know it. Our clients' ideas drive what we do. We co-create innovative solutions with our clients to some of the world's most complex challenges. We work to re-imagine, shape and design a better future.

We listen deeply and intently, which helps us see opportunities, possibilities and potential that others can't. Think engineering. Think again.

Want to know more? You can learn more about what it's like to work at Aurecon by visiting the careers section of our website. If you are intrigued or excited by what you have read, then we want to hear from you. Apply now


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