GenAI Full Stack Developer, India

Likely ghost job

🕒 May 27

🇮🇳 India – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 75%

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Logo of Paralucent

Paralucent

11 - 50 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Paralucent is a company that operates at the intersection of technology and creativity, focusing on driving automation and fusing intelligence to empower productivity. They aim to simplify documentation and enhance business processes through innovative technology solutions. Paralucent offers its expertise to clients seeking to integrate advanced AI solutions into their operations, helping them to optimize their workflows and increase efficiency.

📋 Description

• Design, build, and scale enterprise AI applications powered by LLMs, RAG, and Azure-native cloud services • Build and maintain modern web applications using React, Next.js, Angular, or similar frameworks • Develop scalable backend APIs and AI orchestration services • Develop cloud-native and serverless applications using Azure services • Implement secure authentication and authorization systems • Design and implement AI capabilities including assistants, semantic search, summarization, workflow automation, and intelligent retrieval • Build and optimize enterprise-grade RAG architectures, including ingestion pipelines, chunking, embeddings, vector search, hybrid retrieval, reranking, grounding, and hallucination mitigation • Integrate with LLM providers and AI orchestration frameworks • Develop prompt engineering, tool/function calling, guardrails, moderation, and output validation systems • Implement observability and evaluation mechanisms for LLM quality, latency, and reliability • Integrate AI applications with enterprise systems such as SharePoint, Salesforce, ServiceNow, and internal APIs • Develop data ingestion, enrichment, transformation, and retrieval pipelines • Optimize LLM performance, scalability, latency, and operational cost • Design resilient distributed systems with retries, fallbacks, circuit breakers, and graceful degradation • Implement logging, monitoring, tracing, and observability solutions • Apply responsible AI principles, including privacy controls, auditability, bias mitigation, and secure AI practices • Participate in system design discussions and scalable cloud architecture decisions • Collaborate with product, UX, platform, and engineering teams

🎯 Requirements

• 3 to 8+ years of full stack software engineering experience • Advanced Python programming and backend engineering capability • Deep hands-on experience building production-grade RAG systems and LLM-enabled applications • Strong experience with Azure-native architecture and serverless services • Strong understanding of REST APIs, microservices, distributed systems, and cloud-native design • Experience designing secure authentication and API security solutions using OAuth2, OpenID Connect, JWT, and RBAC • Strong system design and scalable architecture capability • Experience with CI/CD pipelines, testing frameworks, version control, and agile delivery methodologies • Experience with React, Next.js, Angular, or similar frameworks • Experience with FastAPI, Node.js, Java, or .NET • Experience with Azure Functions, API Management, Logic Apps, and Azure Service Bus • Experience with relational, NoSQL, and vector databases • Preferred: Azure OpenAI, Azure AI Search, Azure Key Vault, Docker, Kubernetes, Terraform, and Infrastructure as Code • Preferred: LangChain, Semantic Kernel, LlamaIndex, vector databases, embedding models, reranking, and grounding techniques • Understanding of enterprise security, compliance, and governance frameworks

🏖️ Benefits

• Remote work • 6-month contract opportunity

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