AI/ ML Engineer

Posted 14 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Mid level
Information Technology • Software • Travel
The Role
Build and test generative AI and agentic AI components on GCP using Google Enterprise Agent Platform and ADK. Implement prompt engineering, embeddings, RAG pipelines, multi-agent workflows, agent tools, and planners. Write tested, documented Python and Java code with observability, error handling, and retries. Apply responsible AI, security, IAM, secret management, and data-handling practices while collaborating with senior engineers and contributing to documentation.
Summary Generated by Built In

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.

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

Skills Required

  • 2–4 years of experience in software engineering, data engineering, or machine learning development
  • Experience working on AI/ML projects
  • Experience with cloud platforms, preferably Google Cloud Platform
  • Proficiency in Python
  • Proficiency in Java
  • Knowledge of prompt engineering, embeddings, and retrieval-augmented generation concepts
  • Knowledge of agent loops, tool integration, and memory fundamentals
  • Strong coding fundamentals
  • Familiarity with APIs and SDKs

Sabre Corporation Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sabre Corporation and has not been reviewed or approved by Sabre Corporation.

  • Leave & Time Off Breadth — Time off is expansive, with five weeks of PTO from day one, eight paid holidays, floating holidays, and a companywide year‑end break. Paid volunteer time further broadens available leave.
  • Parental & Family Support — Parental leave provides 12 weeks fully paid for birth or adoption, complemented by generous bereavement leave up to 15 paid days. Disability coverage and dependent eligibility to age 26 reinforce family support.
  • Retirement Support — A 401(k) with a strong company match underpins long‑term savings. This foundation strengthens overall financial security alongside core benefits.

Sabre Corporation Insights

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The Company
HQ: Southlake, TX
8,150 Employees

What We Do

We are a software and technology company that powers the global travel industry. With decades of revolutionary firsts, our team of experts drive innovation and ingenuity in the industry. Today, we are creating a new marketplace for personalized travel. We partner with airlines, hoteliers, agencies and other travel partners to retail, distribute and fulfill travel. We are committed to helping customers operate more efficiently, drive revenue and offer personalized traveler experiences with next-generation technology solutions. Positioned at the center of the business of travel, our platform connects people with experiences that matter in their lives. Sabre's technology powers the nearly US$8 trillion travel industry. Our technology and data-driven solutions help our airline, hotel, travel agency and corporate customers grow their businesses and transform the traveler experience. The scale, breadth and depth of our technology is unmatched and sustains a complex industry. We provide an open and stable platform to deliver flexible, reliable and scalable solutions. Over the years, we have shaped and modernized the travel industry. We pioneered online travel agencies, corporate booking tools, revenue management, and web and mobile itinerary tools, to name a few. Our travel marketplace transacts more than US$120 billion of travel spend per year. And we are the world’s largest provider of airline and hotel technology. We have been named to the InformationWeek 500 list of the most innovative technology companies for 11 consecutive years. And InformationWeek named Sabre seventh on its list of the “Greatest Software Ever Written.”

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