Software Engineer (Data & AI)

estaie is the world’s first AI-native extended-stay accommodation platform, redefining how flexible living is priced, personalized, and operated.

We are building an AI-driven layer that connects hospitality, fintech, and data intelligence powering dynamic pricing, agentic lead generation, smart inventory orchestration, and autonomous operations across global markets.Our mission: to make long-stay travel frictionless, intelligent, and financially optimized for operators, corporate bookers, and digital nomads alike.We are now looking for an AI Engineer who can bridge machine learning, data analytics, and product intelligence.

You’ll design and deploy AI models, manage ML pipelines, and generate insights from data to make our platform smarter every day.

The role combines AI engineering (Vertex AI, LangGraph, pgvector) with data analysis (BigQuery, dbt, Looker, Statsig) — ideal for someone who enjoys both building and interpreting intelligence.

As Ai Engineer, your Key Responsibilities:AI Engineering Build and deploy ML pipelines using Google Vertex AI Pipelines for pricing, personalization, and recommendations. Develop conversational and autonomous agents using LangGraph and Vertex AI SDK.

Implement pgvector-based semantic search and similarity models for guest-property matching. Fine-tune and integrate large-language-model APIs (Gemini, GPT, Claude) for chat and decision logic. Serve predictions through backend APIs (NestJS, Cloud Run) for real-time use.

Data & Analytics Design and manage BigQuery datasets, transformations, and dbt models. Create dashboards in Looker or Metabase for operations, pricing, and customer insights. Run A/B and feature experiments with Statsig and track behavioral data via PostHog.

Deliver analytical models (forecasting, churn, conversion) and communicate findings to product and business teams. Ensure data quality, lineage, and compliance across multi-region GCP environments (UAE, KSA, EU).

Tech Stack & EcosystemAI & ML: Vertex AI, LangGraph, Gemini APIs, pgvector, scikit-learnData Platform: BigQuery, dbt, Cloud Storage, Pub/SubAnalytics: Looker / Metabase, Statsig, PostHogIntegration: NestJS APIs, Cloud Run, Cloud TasksLanguages: Python, SQL, TypeScriptCloud & Security: GCP Serverless Stack, Cloud DLP, Secret Manager What You Bring2+ years of experience in AI / ML engineering or data analytics.

Strong coding skills in Python (pandas, scikit-learn, vertex-ai SDK) and SQL (BigQuery). Hands-on experience with ML pipeline orchestration (Vertex AI, Airflow, or Kubeflow). Understanding of vector databases, semantic search, and recommendation systems.

Ability to visualize and communicate insights effectively. Familiarity with dbt, Looker, and experimentation tools (Statsig, PostHog). Bouns experience with LangChain / LangGraph or GCP Data Engineering certification.