Flexii Hiring! Full Time Data Engineer (AI - Infrastructure) in - Ricebowl

About the Role

As a fast-growing startup building a next-generation platform for the gig economy, we are looking for a Data Engineer to enhance our end-to-end data infrastructure to support our AI capabilities. You will be involved in building the data backbone that powers our job matching algorithms and AI features, ensuring high-quality data flows seamlessly from our mobile and web applications into our analytical and AI environments.

Key Responsibilities

Data Engineering & Pipeline Architecture (~70%)

• Scalable ETL/ELT: Design, build, and maintain automated pipelines to collect, clean, and transform data from our Flutter mobile app, web portal, and/or APIs into PostgreSQL, MongoDB, and/or Google BigQuery.
• Hybrid Storage Management: Manage and evolve our data environment, focusing on PostgreSQL for relational data and MongoDB for unstructured conversational data and transcripts.
• AI Data Readiness: Implement data quality checks, monitoring, and alerting to ensure that the data feeding our AI interview and SOP systems is reliable and trustworthy.
• Event Tracking: Facilitate the setup of custom event tracking and user behavior logging to capture the raw data necessary for AI model training.

Data Modeling (~30%)

• Matching Algorithms: Build and iterate on scoring models using vector embeddings and NLP techniques to improve job-worker fit and recommendation quality.
• Vector Search Infrastructure: Implement and optimize vector search capabilities (e.g., using Gemini API Embeddings or Vertex AI) to enable high-speed similarity matching.
• Collaborative ML: Work with our AI Engineer to deploy and monitor machine learning models that predict churn, satisfaction, and platform economics.

Additional Scope (as the data function grows)

• Support data needs for product experimentation and growth initiatives.
• Document data models, pipelines, and business logic for team knowledge sharing.
• Stay up-to-date with new data tools and best practices; suggest improvements to our stack as we scale.

Requirements

• Experience: 4+ years of experience in data engineering, or a closely related technical role.
• Technical Stack: Proficiency in SQL (PostgreSQL) and NoSQL (MongoDB) and hands-on experience with BigQuery.
• Pipeline Tools: Experience building processes using GCP tools like Cloud Functions, Dataflow, or Airflow.
• AI/ML Basics: Hands-on experience with vector embeddings or NLP libraries (e.g., Vertex AI, Gemini Embedding).
• Collaboration: General awareness of software development (APIs, Git) to work effectively with our Flutter and Backend developers.

Nice-to-Haves

• Experience with the GCP ecosystem (Vertex AI, Cloud Composer).
• Prior work in marketplace platforms, gig economy, or matching/recommendation systems.
• Exposure to data governance basics like access controls and PII handling in a startup context.

What We Offer

• The opportunity to shape the data strategy of a scaling startup.
• A collaborative environment where your work directly impacts product and operational efficiency.

Please note: Due to the high volume of applications, we unfortunately can't get back to every one of you and only successful applicants will be contacted. When you share your details with us, we consider this as consent for us to use your data during the application process. At the moment, Flexii is not in a position to sponsor work visas so you have to be eligible to work legally in the country where we are hiring.