• At least 9-12 years overall experience including PythonArtificial Intelligence Machine Learning Deep Learning Agentic AI
• Indepth understanding of Agentic AI concepts
• Experience in creating agents using Lang GraphCrewai Lang Chain Llama Index Autogen MCP
• Experience designing endtoend customer facing production grade AI GenAI applications considering scalability reliability and security
• Adept in identifying technical hurdles and bottlenecks identifying and implementing wayouts and solutions and discussing technical implementation options with customers
• Experience working extensively with large language models LLMs to build innovative AI solutions
• Adept at using Prompt Engineering and Retrieval Augmented Generation using Vertex AI Search and vector retrieval vector databases FAISS Pinecone Chroma
• Knowledge of Dataflow PubSub Cloud Run Cloud Functions and Cloud Storage
• Knowledge of Responsible AI security networking Entra ID Key Vault and enterprise governance
• Deploy productiongrade AI platforms on Google Cloud infrastructure
• Design and deploy AI solutions on GCP
• Collaborate with crossfunctional teams to integrate AI capabilities into products and services
• Good communication skills
• Implement AI governance observability guardrails and cost optimization for GenAI workloads
• Handson experience with
• Vertex AI
• Vertex AI Agent Builder
• Vertex AI Search
• Gemini Models
• BigQuery
• Google Kubernetes Engine GKE
Preferred Certifications
• Google Qualified Cloud Architect
• Professional Machine Learning Engineer
📌 Associate Principal (Bengaluru)
🏢 LTM
📍 Bengaluru
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