Senior ERP Specialist

Job description

Job Description: Senior AI Engineer (5+ YOE) Role Overview We are seeking a Senior AI Engineer with extensive experience in Generative AI , Retrieval-Augmented Generation (RAG) frameworks, and agent-based system architectures within the Google Cloud ecosystem. Technical Qualifications Generative AI & LLMs: Demonstrated track record of deploying Google Gemini models in production using Vertex AI and the Agent Development Kit (ADK). RAG Architecture: Proven expertise in designing RAG systems. Backend & Cloud Infrastructure: Strong proficiency in Python (FastAPI), Google Cloud Run, and large-scale data retrieval strategies. Data Structures & Storage: Experience of relational database architecture and enterprise data schema management. Key Responsibilities Architect and deliver a stateful, multi-agent AI framework leveraging the Google Agent Development Kit (ADK), establishing an orchestration layer to route user intent to specialized sub-agents.Develop and maintain secure RAG pipelines, including automated data ingestion from source (via Python/FastAPI), data sanitization, and vector/SQL-based retrieval to ensure accurate, context-driven, hallucination-free outputs.Fine-tune and optimize large language model performanceData Pipeline & Tooling: Construct data pipelines utilizing BigQuery and REST APIs. Key Responsibilities Job Description: Senior AI Engineer (5+ YOE) Role Overview We are seeking a Senior AI Engineer with extensive experience in Generative AI , Retrieval-Augmented Generation (RAG) frameworks, and agent-based system architectures within the Google Cloud ecosystem. Technical Qualifications Generative AI & LLMs: Demonstrated track record of deploying Google Gemini models in production using Vertex AI and the Agent Development Kit (ADK). RAG Architecture: Proven expertise in designing RAG systems. Backend & Cloud Infrastructure: Strong proficiency in Python (FastAPI), Google Cloud Run, and large-scale data retrieval strategies. Data Structures & Storage: Experience of relational database architecture and enterprise data schema management. Key Responsibilities Architect and deliver a stateful, multi-agent AI framework leveraging the Google Agent Development Kit (ADK), establishing an orchestration layer to route user intent to specialized sub-agents.Develop and maintain secure RAG pipelines, including automated data ingestion from source (via Python/FastAPI), data sanitization, and vector/SQL-based retrieval to ensure accurate, context-driven, hallucination-free outputs.Fine-tune and optimize large language model performanceData Pipeline & Tooling: Construct data pipelines utilizing BigQuery and REST APIs. Skill Requirements Other Requirements Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Copyright © 2026 HCL Technologies Limited Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. 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