estaie02.03.26
AI SCORE 8.5

Senior Software Engineer - Data & AI (Remote)

$140K–$180K/year

About the Role

We're hiring a Senior Software Engineer - Data & AI to join our innovative team at estaie. This is a fully remote position where you'll lead the design and deployment of the intelligence layer powering our AI-native extended-stay platform. As a Senior Software Engineer, you'll be instrumental in optimizing pricing, personalization, and operational decisions autonomously.

What You'll Do

  • Lead the full lifecycle of ML pipelines from raw data to production serving.
  • Build and deploy ML pipelines on Vertex AI Pipelines.
  • Design pricing, recommendation, and personalization models.
  • Develop autonomous agents using LangGraph and Vertex AI SDK.
  • Implement embeddings and semantic search with pgvector and Vertex Matching Engine.
  • Fine-tune and integrate LLMs such as Gemini, GPT, and Claude.
  • Serve production models via NestJS APIs and Cloud Run.
  • Architect clean, scalable data models in BigQuery and dbt.
  • Build AI performance dashboards in Looker or Metabase.
  • Run A/B experiments with Statsig and PostHog.
  • Define and track AI KPIs such as pricing accuracy and extension prediction.
  • Ensure data governance across UAE, KSA, and EU regions.

Requirements

  • 5+ years of experience in AI engineering, ML, or data engineering.
  • Strong skills in Python and SQL.
  • Experience deploying ML pipelines in production.
  • Solid grasp of feature engineering and evaluation.
  • Experience with vector search and recommendation systems.
  • Understanding of experimentation and analytics.
  • Strong foundation in GCP and serverless infrastructure.
  • Bonus if you’ve worked with LangChain or LangGraph, or have experience in applied AI products.

Nice to Have

  • Experience in building AI-native systems.
  • Familiarity with cloud-based data governance.
  • Knowledge of advanced analytics tools.

What We Offer

  • Opportunity to work on cutting-edge AI technologies.
  • Fully remote work environment.
  • Competitive salary and benefits package.
  • Mentorship and growth opportunities.
  • Be part of a team that is redefining the hospitality industry.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

Join estaie as a Senior Software Engineer - Data & AI and lead innovative AI projects in a fully remote environment. Competitive salary and growth opportunities await.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in Python and SQL, with a strong understanding of data manipulation and analysis, enabling the candidate to effectively build and optimize ML pipelines using Vertex AI and BigQuery.

Self-motivated and disciplined, thriving in a remote work environment, with the ability to autonomously manage projects and communicate effectively with cross-functional teams via tools like Slack and Zoom.

Deep familiarity with modern data visualization tools such as Looker and Metabase, coupled with a strategic mindset for leveraging data insights in product decision-making, particularly in AI-driven applications.

Learning Resources

Python for Data Science Handbookguide

Career Path

Senior Software Engineer - Data & AI(Now)Lead Data Engineer(1-2 years)Director of Data Engineering(3-5 years)

Market Overview

Market Size 2024
$40B
Annual Growth
12.5%
AI Adoption in Enterprises
75%
Investment in Data & AI Solutions
+150%
Labour Demand for Data Engineers
+30%
Avg Salary for Senior Software Engineers
$130K

Skills & Requirements

Required
PythonSQLVertex AI
Growing in Demand
Machine LearningData EngineeringCloud Computing
Declining
RMATLAB

Domain Trends

Increased Focus on Data Privacy
With 70% of companies prioritizing data privacy, there's a growing demand for secure data handling practices in AI applications.
Shift to Serverless Architectures
Over 60% of new applications are being developed using serverless frameworks, reducing operational costs and improving scalability.
Rise of No-Code/Low-Code Platforms
No-code/low-code platforms are projected to grow by 23% annually, empowering non-technical users to build data-driven applications.

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