Artificial Intelligence Specialist

Experience: 812 Years Location: Hyderabad (On-site) Job Summary As an AI Solutions Specialist, you will design, develop, and deploy enterprise-grade AI solutions using Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI Agents, and cloud AI platforms. You will work closely with AI Engineers, Software Developers, and Solution Architects to build scalable AI applications that solve real-world business problems. The ideal candidate should have strong hands-on experience building AI-powered applications, integrating LLMs with enterprise systems, and deploying production-ready AI solutions. Key Responsibilities Design, develop, and implement enterprise AI solutions using LLMs, Generative AI, and Agentic AI.Build AI applications using frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar.Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources.Integrate AI services such as OpenAI, Azure OpenAI, Claude, Gemini, or AWS Bedrock into enterprise applications.Build and integrate REST APIs and microservices for AI applications.Design scalable AI architectures including prompt orchestration, AI workflows, and multi-agent systems.Work with structured and unstructured data using SQL, vector databases, and cloud storage.Optimize prompt engineering, model performance, latency, accuracy, and cost.Deploy AI solutions on cloud platforms such as Azure, AWS, or GCP.Collaborate with software engineering teams throughout the AI application lifecycle.Monitor AI application performance and continuously improve reliability and response quality.Follow AI security, governance, and responsible AI best practices.Required Technical Skills Mandatory 812 years of software engineering or solution development experience.3+ years of hands-on experience in Generative AI and LLM application development.Strong experience with OpenAI, Azure OpenAI, Claude, Gemini, or AWS Bedrock APIs.Hands-on experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar AI orchestration frameworks.Experience designing and implementing RAG (Retrieval-Augmented Generation) solutions.Experience with Vector Databases such as Pinecone, FAISS, ChromaDB, Milvus, or Azure AI Search.Strong proficiency in Python.Experience with REST APIs, API integrations, and microservices.Strong SQL skills.Experience with Git, Docker, and CI/CD pipelines.Experience deploying AI solutions on Azure, AWS, or GCP.Good understanding of prompt engineering, embeddings, tokenization, and model evaluation.Preferred Skills Agentic AI / Multi-Agent SystemsMCP (Model Context Protocol)PromptFlowAzure AI FoundryHugging FaceMLflowKubernetesFastAPIStreamlit or GradioRedisKafkaAI observability and monitoringModel fine-tuningNice to Have Experience building AI copilots, AI assistants, or enterprise chatbots.Experience with multimodal AI (text, image, speech).Experience integrating AI into enterprise applications.Knowledge of MLOps and AI deployment best practices. .