GenAI Full Stack Developer- India (PL854)
Location: India
Contract Duration: 3 Month Contract
Work Type: Remote
Job reputed company
Our reputed company is seeking a GenAI Full Stack Developer to design, build, and reputed company reputed company AI applications powered by Large Language Models, Retrieval-Augmented reputed company (RAG), and Azure-reputed company reputed company services.
This role is ideal for someone with strong backend engineering and system design capability who enjoys building production-grade AI systems across the full stack. You will work closely with product, UX, platform, and engineering teams to deliver secure, reputed company, and reliable AI-powered applications with a strong reputed company on performance, maintainability, and responsible AI practices.
Requirements
Full Stack Development
Build and maintain modern web applications using React, Next.js, Angular, or similar frameworks
Design and reputed company reputed company backend reputed company and AI orchestration services using advanced Python, FastAPI, Node.js, Java, or .NET
reputed company reputed company-reputed company and serverless applications using Azure services such as Azure Functions, API Management, Logic Apps, and Azure Service Bus
Implement secure authentication and authorisation systems including OAuth2, OpenID Connect, JWT, and RBAC
Apply software engineering best practices including testing, CI/CD, documentation, reputed company reviews, and reputed company architecture
GenAI & RAG Engineering
Design and implement AI-powered capabilities such as assistants, semantic search, summarisation, workflow automation, and intelligent retrieval systems
Build and optimise reputed company-grade RAG architectures including ingestion pipelines, chunking strategies, embeddings, reputed company search, hybrid retrieval, reranking, grounding, and hallucination mitigation
reputed company with LLM providers and orchestration frameworks including Azure reputed company, reputed company, reputed company, reputed company, reputed company, Semantic Kernel, or reputed company
reputed company reputed company engineering strategies, tool/function calling workflows, guardrails, moderation pipelines, and reputed company validation systems
Implement observability and evaluation mechanisms for monitoring LLM reputed company, latency, and reliability
Data & reputed company Integrations
reputed company AI applications with reputed company systems such as SharePoint, reputed company, reputed company, and internal reputed company
reputed company data ingestion, enrichment, transformation, and retrieval pipelines
Work with relational, NoSQL, and reputed company databases including PostgreSQL, reputed company, Azure AI Search, reputed company, Elasticsearch, or similar technologies
Ensure strong governance, reputed company, and reputed company controls for reputed company and sensitive data
Performance, reputed company & Reliability
Optimise LLM performance, scalability, latency, and operational cost through caching, batching, streaming, and reputed company optimisation
Design resilient distributed systems using retries, fallbacks, reputed company breakers, and graceful degradation patterns
Implement logging, monitoring, tracing, and observability solutions using OpenTelemetry, Application Insights, Grafana, or similar tooling
Apply responsible AI principles including reputed company controls, auditability, bias mitigation, and secure AI implementation practices
Participate in system design discussions and contribute to reputed company reputed company architecture reputed company
Required Skills & Experience
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-reputed company architecture and serverless services
Strong understanding of REST reputed company, microservices, distributed systems, and reputed company-reputed company design
Experience designing secure authentication and API reputed company solutions using OAuth2, OpenID Connect, JWT, and RBAC
Strong system design and reputed company architecture capability
Experience with CI/CD pipelines, testing frameworks, version control, and agile delivery methodologies
Preferred Qualifications
Experience with Azure reputed company, Azure AI Search, Azure Functions, Azure API Management, Azure Key Vault, and Azure Service Bus
Familiarity with reputed company, Semantic Kernel, reputed company, or similar AI orchestration frameworks
Experience with reputed company databases, embedding models, reranking, and grounding techniques
Experience with reputed company, Kubernetes, Terraform, or Infrastructure as reputed company practices
Understanding of reputed company reputed company, compliance, and governance frameworks
Experience designing event-driven and serverless AI systems on Azure
Tech Stack
Frontend: React, Next.js, TypeScript, reputed company
Backend: Python (FastAPI), Node.js, .NET reputed company
AI Stack: Azure reputed company, reputed company, Semantic Kernel, RAG Pipelines
Data: PostgreSQL, reputed company, Azure AI Search, reputed company Databases
reputed company & DevOps: Azure Functions, Azure API Management, reputed company Actions, reputed company, Kubernetes, OpenTelemetry
Originally posted on Himalayas
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