AI/ ML Engineer

4026 Sabre Travel Technologies; Bengaluru; Hybrid; INR 1,200,000 - 2,000,000; Full time

Job summary

Sabre Travel Technologies is seeking an AI Engineer to independently develop GenAI and agentic AI components on Google Cloud Platform. Proficiency in Java and Python is required as you design, test, and deliver high‑quality features with a focus on GenAI workflows and agent loops.

You will collaborate with senior engineers, implement observability, ensure compliance with security practices, and contribute to documentation while growing expertise in GCP AI workflows.

Qualifications

• 2–4 years in software/data engineering or ML development.
• Worked on AI/ML projects and cloud platforms (preferably GCP).
• Strong coding fundamentals.

Responsibilities

• Implement GenAI workflows: prompt engineering, embeddings, RAG concepts.
• Build agent tools and simple planners using ADK.
• Work with GCP services: Google Enterprise Agent Platform, BigQuery, Cloud Storage, Pub/Sub.
• Write clean, tested code and participate in reviews with good observability.

Skills

GenAI

Agentic AI

GCP Services

Python

Java

APIs & SDKs

Education

2–4 years in software/data engineering or ML development

Tools

Google Enterprise Agent Platform

BigQuery

Cloud Storage

Pub/Sub

Job description

Powering the agentic revolution in travel. Sabre is an AI-native technology leader, backed by one of the world’s largest travel data clouds. Built on an open, modular, cloud-native architecture, Sabre serves as the backbone for both established leaders and bold, new disruptors, guiding them to the next age of travel retailing through intelligent, connected, and personalized experiences. With AI at its core and operating at unparalleled scale, Sabre transforms insights into innovation, empowering airlines, hoteliers, agencies and other partners to retail, distribute and fulfill travel worldwide.

Role Summary

The AI Engineer is an independent contributor focused on building and testing GenAI and agentic AI components on Google Cloud Platform using Google Enterprise Agent Platform and ADK frameworks. This role emphasizes hands‑on coding, learning best practices, and delivering high-quality features under guidance, while developing expertise in GCP and AI workflows. The engineer should be proficient in Java and Python.

Key Responsibilities

Development & Implementation

• Implement basic GenAI workflows: prompt engineering, embeddings, RAG pipelines, multi agent workflows.
• Build and integrate agent tools and simple planners using ADK.
• Work with GCP services: Google Enterprise Agent Platform, BigQuery, Cloud Storage, Pub/Sub.

Quality & Testing

• Write clean, documented code with unit tests.
• Participate in code reviews and apply feedback to improve quality.
• Ensure basic observability: logs, error handling, retries.

Collaboration & Learning

• Work closely with senior engineers and team leads to understand architecture and standards.
• Attend design discussions, training sessions, and knowledge-sharing forums.
• Contribute to documentation and team wikis.

Compliance & Safety

• Apply Responsible AI principles: use safety prompts and filters.
• Follow security guidelines: IAM roles, secret management, and data handling policies.

Required Technical Competencies

• GenAI : Prompt engineering, embeddings, RAG concepts.
• Agentic AI: Agent loops, tool integration, memory fundamentals.
• GCP Services: Google Enterprise Agent Platform, BigQuery, Cloud Storage, Pub/Sub.
• Coding: Proficiency in Python and Java; familiarity with APIs and SDKs.

Qualifications

• 2–4 years in software/data engineering or ML development.
• Worked on AI/ML projects and cloud platforms (preferably GCP).
• Strong coding fundamentals.

Outcomes & KPIs

Delivery

Assigned tasks completed on time with minimal defects.

Learning

Demonstrates growth in GenAI and agentic competencies.

Collaboration

Actively participates in reviews and team discussions.

Demonstrated Behaviors

Execution

Delivers assigned tasks with attention to detail. Seeks clarity and applies feedback promptly.

Learning

Shows curiosity; asks questions; adopts best practices. Documents learnings and shares with peers.

Collaboration

Communicates effectively; works well in team settings. Respects coding standards and security guidelines.

#LI-Hybrid#LI-GR1

Reasonable Accommodation

Sabre is committed to working with and providing reasonable accommodation to applicants with disabilities.

Applicants applying for a Sabre position with a disability who require a reasonable accommodation for any part of the application or hiring process may contact Sabre at [e-mail].

Determinations on requests for reasonable accommodation will be made on a case‑by‑case basis.

Equal Employment Opportunity

Sabre is an equal employment opportunity employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals.

EEO IS THE LAW