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.
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