aimlroles

AI / ML Engineer

Reasonable Accommodation Sabre Open · verified Oct 22, 2026
Bengaluru Full-time Mid-level Machine Learning Engineering

At a glance

Mid-level Machine Learning Engineering role at Reasonable Accommodation Sabre. Bengaluru · full-time.

Pay not stated Machine Learning Engineering salary

RoleMachine Learning Engineering
SeniorityMid-level
LocationBengaluru
EmploymentFull-time
PostedOct 7, 2026 · 2w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build GenAI flows for prompts, embeddings, retrieval-augmented generation and multi-agent tasks
  • Use ADK to connect agents with tools and create straightforward planning logic
  • Develop and test components on Google Cloud, using its agent platform, BigQuery, Cloud Storage and Pub/Sub
  • Write documented code with unit tests, improve it through reviews, and add logs, error handling and retries
  • Apply safety prompts, filters and security practices for access, secrets and data handling

What you bring

  • You have two to four years in software or data engineering, or machine-learning development
  • You can code proficiently in Python and Java and have worked on AI/ML projects and cloud platforms
  • You understand prompt design, embeddings, RAG, agent loops, tool connections and basic memory concepts
  • You can work with Google Enterprise Agent Platform, BigQuery, Cloud Storage, Pub/Sub, APIs and SDKs

Who this fits

This suits a mid-level individual contributor who wants hands-on GenAI and agentic AI work while developing GCP expertise with guidance from senior engineers. The role is based in Bengaluru.

From the employer

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.