AI/ML Engineer

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 4 days ago
1-3 years
Bengaluru / Bangalore, Karnataka
work from office

Posted: 4 days ago
|
Applicants: 149+
Job Description
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Job Description

Role Summary
The Engineer is an early-career contributor focused on building and testing GenAI and agentic AI components on Google Cloud Platform using Vertex AI 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.
Key Responsibilities
Development & Implementation
  • Implement basic GenAI workflows: prompt engineering, embeddings, and simple RAG pipelines.
  • Build and integrate agent tools and simple planners using ADK.
  • Work with GCP services: Vertex AI, BigQuery, Cloud Storage, Pub/Sub, Cloud Run.
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 Basics: Prompt engineering, embeddings, simple RAG concepts.
  • Agentic AI Basics: Agent loops, tool integration, memory fundamentals.
  • GCP Services: Vertex AI, BigQuery, Cloud Storage, Pub/Sub.
  • Coding: Proficiency in Python; familiarity with APIs and SDKs.
Qualifications
  • 1–3 years in software/data engineering or ML development.
  • Exposure to AI/ML concepts and cloud platforms (preferably GCP).
  • Strong coding fundamentals and eagerness to learn GenAI and agentic patterns.
Outcomes & KPIs

Looking to get Placed? Try our Placement Guarantee Plan

  • 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.

Skills

PythonImplementationAi/mlPrompt EngineeringAiGoogle CloudMlAi/ml EngineerMl Engineer

If an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.

About Company

Sabre Careers present an exceptional opportunity to dive into the forefront of travel technology, offering innovative solutions that power the global travel industry. As a leading software and technology company, Sabre is committed to connecting travel suppliers with buyers through an expansive travel marketplace. Joining Sabre means being part of a team that embraces innovation, collaboration, and customer success. Sabre Careers cater to a range of professionals, from software engineers and data scientists to sales and marketing experts, all dedicated to transforming how the world travels. The company fosters an environment of growth, learning, and development, making Sabre Careers ideal for those looking to impact the travel industry positively while advancing their professional journey.

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Important dates & deadlines?

Application Deadline

28 Jun 26, 03:52 PM IST

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