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