Senior Software Engineer

Job title: Senior Software Engineer (Data & AI)

Reports to: Chief Technical Officer (CTO)

Number of positions: One (1)

Location: Full time Remote (global)

About estaie

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 Engineering Manager who is both architect and craftsman, someone who codes, reviews, deploys, and leads by example while scaling a globally distributed team that builds at the intersection of AI, automation, and high-availability systems.

What Makes Us Different

AI-Native from Day One

We’re not adapting to AI — we were built on it. Every system, process, and decision is powered by intelligence and automation, not legacy thinking.

Global, Remote, Human

Our team spans continents but stays closely connected. We value ownership, flexibility, and a shared sense of purpose more than office walls.

Startup Speed, Real Impact

We move fast, ship often, and solve real problems that redefine how people live, travel, and connect. Every role here directly shapes the product and the future of our industry.

Culture of Builders

We don’t just execute; we invent. You’ll work with founders and teammates who think in systems, care about craft, and thrive on curiosity and autonomy.

The Role

We are seeking a Senior AI Engineer to lead the design, development, and deployment of AI models and data pipelines that power estaie’s intelligence layer.

You will own end-to-end machine-learning systems — from data engineering and feature extraction to training, evaluation, and real-time serving.

This role requires a strong blend of AI engineering and data analytics skills, with hands-on experience in production-grade ML on GCP.

You will:

AI Architecture & Model Development

• Design and deploy ML pipelines on Vertex AI Pipelines for pricing, recommendation, and personalization.
• Build autonomous agents and workflows using LangGraph + Vertex AI SDK to automate decision making.
• Implement vector embeddings and semantic search with pgvector + Vertex Matching Engine.
• Fine-tune and integrate LLMs (Gemini, GPT, Claude) for chat and predictive use cases.
• Collaborate with backend engineers to serve models through NestJS APIs and Cloud Run.

Data Engineering & Analytics

• Architect and maintain data models in BigQuery and dbt for clean, reliable training datasets.
• Build dashboards and insight layers in Looker or Metabase for AI and business performance.
• Conduct cohort, funnel, and A/B analysis using Statsig and PostHog.
• Define and monitor AI KPIs (search relevance, pricing accuracy, extension prediction).
• Ensure data quality, security, and compliance (GDPR, PDPL) across multi-region deployments (UAE, KSA, EU).

Leadership & Collaboration

• Mentor junior engineers and analysts on ML best practices and data governance.
• Work cross-functionally with Product and Engineering to translate business needs into AI solutions.
• Contribute to architecture reviews and scalability planning for AI services.

Tech Stack

AI & ML: Vertex AI, LangGraph, Gemini APIs, pgvector, scikit-learn

Data Platform: BigQuery, dbt, Cloud Storage, Pub/Sub

Analytics: Looker / Metabase, Statsig, PostHog

Integration: NestJS APIs, Cloud Run, Cloud Tasks

Languages: Python, SQL, TypeScript

Cloud & Security: GCP Serverless Stack, Cloud DLP, Secret Manager

What You Bring

• 5 + years of experience in AI engineering / ML development / data engineering.
• Strong proficiency in Python (pandas, scikit-learn, Vertex AI SDK) and SQL (BigQuery).
• Proven experience building and deploying ML pipelines on Vertex AI, Kubeflow, or similar.
• Deep understanding of data modeling, feature engineering, and model evaluation.
• Familiarity with vector databases, semantic search, and recommendation systems.
• Practical knowledge of A/B testing, experiment design, and product analytics.
• Strong foundation in cloud infrastructure (GCP) and serverless architectures.
• Experience with LangChain / LangGraph, Go, or data privacy frameworks is a plus.

What do we offer to estaie Founding Team?

At estaie, we are not just building technology; we are blending AI, Fintech, and hospitality. Reimagining how the world lives, travels, and connects.

Join a global, startup-minded team that believes flexibility is the future of living and is bold enough to build it.

Work Directly with Visionary Founders

Collaborate side-by-side with three accomplished founders and entrepreneurs who have built and scaled successful ventures before.

Performance Bonus

Receive a one-year completion performance bonus as recognition for your impact and dedication.

Employee Stock Ownership (ESOP)

Own a piece of the company’s success through our equity program, grow with us as we scale.

Growth & Rewards Every 6 Months

Enjoy performance-based increments every six months during your first 24 months, tied to clear KPIs and achievements.

Generous time off

Recharge with 35 days of paid vacation each year, because balance matters.

Flexible Work Hours

We focus on outcomes, not clock-ins. Shape your own productive schedule.

You can apply here or email Careers@estaie.com, including your resume and samples of your work