Sabre AI/ML Engineer 2026

The demand for Artificial Intelligence professionals continues to grow rapidly, and the AI/ML Engineer position at Sabre offers an exciting opportunity for candidates looking to build expertise in Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), and cloud-native AI solutions.

Based in Bengaluru, this full-time role is designed for early-career engineers who want hands-on experience developing AI-powered applications using Google Cloud Platform (GCP), Vertex AI, and modern AI frameworks. If you’re passionate about Python programming, AI innovation, and cloud technologies, this could be an excellent opportunity to accelerate your career.

About Sabre

Sabre is a global travel technology leader powering the future of travel through AI-driven innovation. The company operates one of the world’s largest travel data clouds and provides technology solutions for airlines, hotels, travel agencies, and travel partners worldwide.

With AI embedded at the core of its platform, Sabre enables intelligent retailing, distribution, and fulfillment of travel services through cloud-native technologies and advanced machine learning systems. The company continues to invest heavily in Generative AI and Agentic AI capabilities to transform travel experiences globally.

Job Overview

Role Summary

As an AI/ML Engineer, you will contribute to the development of Generative AI and Agentic AI solutions on Google Cloud Platform. The role focuses on building AI workflows, implementing Retrieval-Augmented Generation (RAG) pipelines, integrating AI agents, and developing scalable AI-powered applications.

You will collaborate with senior engineers, participate in architecture discussions, and gain practical exposure to production-grade AI systems while following Responsible AI and security best practices.

Key Responsibilities

Development & Implementation

• Build and implement GenAI workflows.
• Create prompt engineering solutions.
• Develop embedding-based applications.
• Design and support simple RAG pipelines.
• Build AI agent tools using ADK frameworks.
• Integrate planners and agent workflows.
• Develop applications using Vertex AI.
• Work with Google Cloud services and APIs.
• Build scalable AI-powered cloud applications.

Google Cloud Platform Technologies

You may work with:

• Vertex AI
• BigQuery
• Cloud Storage
• Pub/Sub
• Cloud Run
• Identity and Access Management (IAM)

Quality & Testing

• Write clean and maintainable Python code.
• Create unit tests for developed features.
• Participate in code reviews.
• Implement logging and monitoring.
• Improve application reliability through error handling and retry mechanisms.

Collaboration & Learning

• Work alongside experienced AI engineers.
• Participate in architecture and design discussions.
• Contribute to technical documentation.
• Attend AI and cloud technology training sessions.
• Share learnings through internal knowledge platforms.

Responsible AI & Security

• Follow Responsible AI principles.
• Apply safety prompts and AI guardrails.
• Implement secure data handling practices.
• Manage permissions using IAM.
• Follow security and compliance requirements.

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Required Skills

Candidates should have knowledge of:

Artificial Intelligence

• Prompt Engineering
• Embeddings
• Retrieval-Augmented Generation (RAG)
• Generative AI fundamentals
• Large Language Models (LLMs)

Agentic AI

• Agent workflows
• Tool integration
• Agent memory concepts
• Autonomous reasoning basics

Programming

• Strong Python programming skills
• API development and integration
• SDK usage and implementation

Cloud Technologies

• Google Cloud Platform (preferred)
• Vertex AI
• BigQuery
• Cloud Storage
• Pub/Sub

Eligibility Criteria

Applicants should have:

• 0–3 years of experience in software engineering, data engineering, AI, or machine learning.
• Exposure to cloud platforms, preferably GCP.
• Strong programming fundamentals.
• Understanding of AI and machine learning concepts.
• Willingness to learn Generative AI and Agentic AI technologies.
• Good communication and collaboration skills.

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Preferred Candidate Profile

The ideal candidate is:

• Curious and eager to learn.
• Passionate about AI innovation.
• Comfortable working in collaborative environments.
• Interested in cloud-native development.
• Focused on writing high-quality code.
• Open to feedback and continuous improvement.

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Salary Estimate

Sabre has not officially disclosed the compensation for this position.

Based on similar AI/ML Engineer and Early Career GenAI Engineer roles in Bengaluru, the expected salary range may be:

Estimated Monthly Salary: ₹67,000 – ₹1.67 Lakhs*

These figures are based on industry benchmarks and comparable AI/ML engineering roles and are not officially confirmed by Sabre.

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Selection Process

The recruitment process may include:

1. Application Review
2. Resume Shortlisting
3. Technical Assessment
4. Coding Evaluation
5. AI/ML Technical Interview
6. Hiring Manager Discussion
7. Final Offer

How to Apply

Before applying, ensure your resume highlights:

• Python projects
• AI/ML coursework
• GenAI or LLM projects
• Cloud platform experience
• RAG or prompt engineering work
• GitHub repositories and portfolio projects

Candidates meeting the eligibility criteria can apply through the official Sabre careers portal.

Disclaimer: This information has been compiled from publicly available job details and official company sources. We do not charge any fee for job information, are not involved in recruitment, and do not guarantee selection. Applicants should verify all details through the official company website before applying.