Full Stack Architect

3 weeks ago

New Delhi, India People Prime Worldwide Full time

Our client is a global technology company headquartered in Santa Clara, California. it focuses on helping organisations harness the power of data to drive digital transformation, enhance operational efficiency, and achieve sustainability. over 100 years of experience in operational technology (OT) and more than 60 years in IT to unlock the power of data from your business, your people and your machines. We help enterprises store, enrich, activate and monetise their data to improve their customers’ experiences, develop new revenue streams and lower their business costs. Over 80% of the Fortune 100 trust our client for data solutions. The company’s consolidated revenues for fiscal 2024 (ended March 31, 2024). approximately $57.5 billion USD., and the company has approximately 296,000 employees worldwide. It delivers digital solutions utilising Lumada in five sectors, including Mobility, Smart Life, Industry, Energy and IT, to increase our customers’ social, environmental and economic value.Job Title:Full Stack ArchitectLocation: BengaluruExperience: 5+YearsJob Type :Contract to hire.Notice Period:Immediate joiners.Mandatory Skills:React, GenAI backend, frontend,LLM,Azure,Job Description: Full-Stack LLM Architect(Cloud + AI Integration) Core Competencies •LLM integration expertise (OpenAI SDK, tool use, multi-step flows, agentic integration, etc) •LLM frameworks (Lang Chain, Lang Graph, Deep Eval) •Python (expert level – scripting, backend APIs, task automation and environments) •Azure Cloud-native development using: •Azure OpenAI, Azure Functions, Azure Key Vault, Azure AI Services •Cosmos DB and optionally Azure ML, AI Search, or Data Factory Experience with: •Building or extending GPT-like apps (chat logic, tool integration) •Architecting loosely coupled GPT pipelines (e.g., agentic design, internal toolchain) • Software Data Engineering •Strong expertise in REST API architecture and implementation, and familiarity with enterprise integration mechanisms such as MCP, A2A, or equivalent middleware frameworks •Logs/metrics pipelines (for internal observability and usage tracking) •Comfortable in CI/CD environments (Azure DevOps pipelines) •Git-based workflows with branching, reviews, and testing Full Stack Awareness (Bonus) •Can collaborate closely with frontend teams using React/TS •Knows enough JS/HTML to support GPT UI extensions (e.g., graph output, code formatting)

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