【Flexii】AI Engineer

About Flexii

As a fast-growing startup building a next-generation platform for the gig economy, we are looking for an AI Engineer to develop our AI interview system as well as to extend our long-term AI roadmap. You will build intelligent systems that not only automate recruitment but also streamline internal operations. This is a "build-from-zero" role in a collaborative, hands-on environment.

Key Responsibilities

AI Product & Feature Development (~60%)

• AI Interview Engine: Design and deploy conversational agents using Gemini and Vertex AI to conduct automated screenings and evaluate candidate fit.
• Operational AI (SOP Generation): Build LLM-driven workflows that transform raw process notes into structured Standard Operating Procedures (SOPs).
• Intelligent Data Retrieval: Develop RAG (Retrieval-Augmented Generation) systems or newer systems to allow staff to query internal documentation and databases using natural language.
• Evaluation & Testing: Implement A/B testing and evaluation frameworks to measure the accuracy and impact of AI-generated outputs.

AI Infrastructure (~40%)

• Hybrid Data Architecture: Manage and optimize data flows between PostgreSQL (structured logic), MongoDB (unstructured transcripts/SOPs), and BigQuery (long-term analytics).
• Vector Ops: Implement and maintain vector databases and embeddings (e.g., Gemini Embeddings) to power semantic search and retrieval across the platform.
• Backend Integration: Collaborate with engineering to build robust APIs and ensure seamless integration with our Flutter frontend.
• Scalability & Governance: Monitor AI costs and performance, ensuring data privacy and PII handling follow best practices.

Additional Scope (as the data function grows)

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

Requirements

• Experience: 3+ years of experience in AI engineering, backend engineering, or a closely related technical role.
• Generative AI: Strong proficiency with Large Language Models (LLMs), specifically the Gemini API and prompt engineering.
• Database Management: Hands-on experience with PostgreSQL and MongoDB; knowledge of how to structure data for AI consumption.
• Cloud Infrastructure: Proficiency in the Google Cloud Platform (GCP) ecosystem (Vertex AI, Cloud Functions, BigQuery).
• Technical Literacy: Awareness of software development practices including APIs, Git, and collaborating with Flutter/Frontend teams.
• Startup Mindset: Proactive, self-motivated, and comfortable "wearing multiple hats" to build systems from scratch.

Nice-to-Haves

• Agentic Frameworks: Experience with LangChain, LlamaIndex, or similar tools for building complex AI agents.
• Vector Search: Exposure to vector databases (e.g., Pinecone, Vertex AI Search) for high-performance data retrieval.
• Domain Experience: Prior work in marketplace platforms, HR-tech, or business process automation.

What We Offer

• The opportunity to shape the AI 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.