ML & AI Engineer

ML & AI Engineer – Python, LLM, RAG, GCP

We are seeking a Machine Learning / AI Engineer to help build and deploy production-grade generative AI and LLM systems powering next-generation conversational digital experiences.

This role focuses on designing and engineering LLM applications, RAG pipelines and scalable AI infrastructure using Python and Google Cloud (GCP). You will work on cutting-edge agentic AI and conversational AI platforms, building services that support intelligent assistants and automated customer interactions.

Key Responsibilities

• Build and deploy LLM-based applications and generative AI solutions
  
  
• Develop RAG (Retrieval Augmented Generation) pipelines
  
  
• Engineer scalable microservices-based AI platforms
  
  
• Design and maintain data pipelines using Python and Spark
  
  
• Implement CI/CD pipelines for machine learning and AI systems
  
  
• Work with GCP services including Vertex AI, BigQuery, Dataflow, Spanner and Firestore
  
  
• Contribute to prompt engineering, LLM evaluation and monitoring
  
  
• Build integrations between AI agents and enterprise systems
  
  Required Skills
  
  
• Strong Python development experience
  
  
• Experience building LLM or generative AI applications
  
  
• Knowledge of RAG pipelines and prompt engineering
  
  
• Experience with microservices architecture and CI/CD
  
  
• Hands-on experience with Google Cloud Platform (GCP)
  
  
• Familiarity with Spark or large-scale data pipelines
  
  Nice to Have
  
  
• Experience with LangChain, LangGraph or agentic AI frameworks
  
  
• Knowledge of multi-agent architectures or AI orchestration
  
  
• Experience building production AI platforms
  
  This is an opportunity to work on large-scale AI engineering challenges, delivering production AI systems and intelligent digital assistants using modern LLM, generative AI and cloud-native technologies