GenAI Full Stack Developer

Genai Full Stack Developer

This role focuses on building next-generation enterprise AI applications powered by Large Language Models, Retrieval-Augmented Generation (RAG), and cloud-native Azure services. You will work across the full stack, designing scalable front-end interfaces, robust backend systems, and intelligent AI orchestration layers. The position involves close collaboration with product, engineering, and platform teams to deliver secure, high-performance AI-driven applications. You will contribute to designing RAG architectures, integrating LLMs, and ensuring responsible AI practices across production systems. This is a highly technical, hands-on role requiring strong engineering depth and system design expertise. The environment is fast-evolving, innovation-driven, and centered on building production-grade AI solutions at scale. It offers the opportunity to shape real-world GenAI systems with measurable enterprise impact.

Accountabilities

• Design, build, and maintain full-stack applications using modern frontend frameworks such as React, Next.js, or Angular, ensuring responsive and scalable user experiences.
• Develop backend APIs and AI orchestration services using Python, FastAPI, Node.js, Java, or .NET, with a focus on performance and scalability.
• Build cloud-native and serverless solutions leveraging Azure services such as Azure Functions, API Management, Logic Apps, and Service Bus.
• Design and implement enterprise-grade RAG systems, including ingestion pipelines, embedding strategies, vector search, reranking, and grounding techniques.
• Integrate and optimize LLM-based capabilities such as chat assistants, semantic search, summarization, and workflow automation.
• Work with enterprise systems and data platforms including relational, NoSQL, and vector databases to enable seamless AI integration.
• Implement observability, security, and responsible AI practices across applications, ensuring reliability, governance, and compliance.

Requirements

• 3–8+ years of full stack software engineering experience with strong backend and system design expertise.
• Advanced proficiency in Python and experience building scalable backend services and APIs.
• Strong hands-on experience designing and deploying production-grade GenAI and RAG-based applications.
• Deep understanding of Azure cloud-native architecture, including serverless and distributed systems design.
• Experience with REST APIs, microservices, authentication frameworks, and secure API design (OAuth2, JWT, RBAC, OpenID Connect).
• Strong knowledge of LLM ecosystems, including Azure OpenAI and related orchestration frameworks such as LangChain, Semantic Kernel, or LlamaIndex.
• Experience with vector databases, embeddings, prompt engineering, and AI evaluation techniques.
• Solid understanding of CI/CD pipelines, DevOps practices, and agile development methodologies.

Benefits

• Competitive contract-based compensation
• Fully remote work opportunity within India
• Hands-on exposure to cutting-edge GenAI and LLM engineering projects
• Opportunity to work with Azure-native cloud and modern AI architectures
• Collaborative environment with cross-functional AI, product, and engineering teams
• Strong focus on innovation, experimentation, and real-world AI impact
• Exposure to enterprise-scale systems and advanced AI orchestration frameworks.