Senior Full Stack Data Engineer

1 day ago

Valenzuela, Philippines SupportFinity™ Full time

Overview

We are seeking a Senior Full Stack Developer specializing in Generative AI to architect and build the data infrastructure that powers our next-generation AI applications. You will design scalable data pipelines, vector databases, and embedding systems enabling LLM-powered solutions for infrastructure and engineering challenges across the APAC region. You will bridge traditional data engineering and cutting-edge AI technologies, ensuring AI agents and applications have access to high-quality, real-time data.

Responsibilities
  • 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 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 and operate monitoring and alerting systems for data pipeline health, quality metrics, and AI model data drift.
Qualifications
  • 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 a 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 in the office.
  • Wellbeing — prioritising your health.
  • Recognition — your impact matters.
  • Family — support for modern families and carers.
  • Community — volunteering days.
  • Career development — learn, lead and shape your career.
About Us

Aurecon is an engineering and infrastructure advisory company, but not as you know it. Our clients’ ideas drive what we do. Drawing on our deep pool of expertise, we co-create innovative solutions with our clients to some of the world’s most complex challenges. Through unique processes and skills, 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.

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