Senior AI Engineer

As a Senior AI Engineer/GenAI Full Stack Engineer at our company, your role will involve designing, developing, and deploying enterprise-grade Generative AI applications. Your expertise in full-stack development, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI systems, and cloud-native architectures will be crucial for success in this position. Key Responsibilities: - Design, develop, and maintain scalable AI-powered web applications using React.js, Python, and FastAPI. - Build end-to-end AI products from concept to production deployment. - Develop highly responsive front-end interfaces for AI-enabled applications. - Create robust backend services and APIs to support AI workflows and integrations. - Build and deploy production-grade Generative AI solutions using OpenAI, Claude, Gemini, or similar Large Language Models. - Design prompt engineering strategies and optimize model performance. - Evaluate and integrate emerging AI technologies and frameworks. - Develop intelligent AI assistants, copilots, chatbots, and automation solutions. - Design and implement advanced RAG architectures for enterprise knowledge retrieval. - Build retrieval pipelines with optimized chunking, indexing, embedding generation, and ranking strategies. - Improve retrieval accuracy, relevance, and response quality. - Implement hybrid search and semantic search capabilities. - Develop and manage agentic AI workflows and multi-agent systems. - Integrate external tools, APIs, and business systems with AI agents. - Design autonomous workflows for complex reasoning and task execution. - Build orchestration frameworks to support intelligent decision-making systems. - Implement vector search solutions using Pinecone, Qdrant, Weaviate, pgvector, or similar technologies. - Design scalable knowledge management and semantic retrieval systems. - Optimize indexing, retrieval speed, and query performance. - Develop scalable backend services using Python and FastAPI. - Build secure and performant RESTful APIs and AI service integrations. - Implement authentication, authorization, monitoring, and logging mechanisms. - Deploy and maintain AI applications on AWS, Azure, or Google Cloud Platform. - Containerize applications using Docker and manage deployments using Kubernetes. - Implement CI/CD pipelines and infrastructure automation. - Monitor application performance, reliability, and scalability. - Optimize AI applications for latency, throughput, cost efficiency, and token utilization. - Implement observability, monitoring, tracing, and logging solutions. - Continuously improve model response quality and application performance. - Ensure production readiness and operational excellence. - Collaborate with Product, Engineering, Data Science, and Business teams to deliver AI-driven solutions. - Participate in architecture discussions and technology decision-making. - Stay current with advancements in Generative AI, LLMs, and AI engineering best practices. Qualification Required: - Strong experience in Full Stack Development using React.js, Python, and FastAPI. - Hands-on experience building production-grade Generative AI applications. - Expertise in OpenAI, Claude, Gemini, Llama, or similar LLM platforms. - Strong knowledge of RAG architectures and semantic search systems. - Experience with vector databases such as Pinecone, Qdrant, Weaviate, ChromaDB, or pgvector. - Experience building agentic AI systems and AI workflow orchestration. - Strong understanding of API development and backend architecture. - Hands-on experience with Docker, Kubernetes, and cloud platforms. - Strong problem-solving and system design capabilities. In this role, you will have the opportunity to work on cutting-edge Generative AI products at scale, utilize the latest AI technologies, frameworks, and cloud platforms, drive innovation and business transformation, and be part of a collaborative environment focused on AI-first product development. As a Senior AI Engineer/GenAI Full Stack Engineer at our company, your role will involve designing, developing, and deploying enterprise-grade Generative AI applications. Your expertise in full-stack development, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI systems, and cloud-native architectures will be crucial for success in this position. Key Responsibilities: - Design, develop, and maintain scalable AI-powered web applications using React.js, Python, and FastAPI. - Build end-to-end AI products from concept to production deployment. - Develop highly responsive front-end interfaces for AI-enabled applications. - Create robust backend services and APIs to support AI workflows and integrations. - Build and deploy production-grade Generative AI solutions using OpenAI, Claude, Gemini, or similar Large Language Models. - Design prompt engineering strategies and optimize model performance. - Evaluate and integrate emerging AI technologies and framewor