AI ML Engineer

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.
  
  

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

• 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.
  
  

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

• 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.
  
  

• 0–3 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.
  
  

• 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.
  
  

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

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

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