AI/ ML Engineer

Role overview

AI/ ML Engineer at Sabre Corporation

Development & Implementation

This role emphasizes hands-on coding, learning best practices, and delivering high-quality features under guidance, while developing expertise in GCP and AI workflows.

Responsibilities

• 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.

Required 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.
• We will give careful consideration to your application and review your details against the position criteria.
• You will receive separate notification as your application progresses.
• Please note that only candidates who meet the minimum criteria for the role will proceed in the selection process.
• #LI-Hybrid#LI-GR1

Employment details

• Location: Bengaluru [Karnataka] [India]

Additional role details

• 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.
• The engineer should be proficient in Java and Python.