Job Title: Senior Agentic AI Programmer (GenAI, AWS & Azure) Location: Hyderabad Employment Type: Full-time Experience: 3 10+ Years Industry: AI / Software Development / Cloud Computing Job Summary We are seeking an experienced Senior Agent AI Programmer with strong expertise in Agentic AI systems, Generative AI, and cloud platforms (AWS & Azure). The ideal candidate will design, develop, and deploy intelligent AI agents capable of autonomous decision-making, orchestration, and task execution using modern LLMs and cloud-native services. Key Responsibilities • Design and develop Agentic AI systems using frameworks such as LangChain, AutoGen, CrewAI, or similar. • Build and deploy Generative AI applications leveraging LLMs (OpenAI, Anthropic, Azure OpenAI, etc.). • Architect multi-agent workflows for reasoning, planning, tool usage, and autonomous task execution. • Integrate AI agents with APIs, databases, enterprise systems, and third-party tools. • Deploy, monitor, and scale AI solutions on AWS and Azure cloud platforms. • Implement prompt engineering, memory management, RAG (Retrieval-Augmented Generation), and vector databases. • Ensure security, performance, and reliability of AI systems. • Mentor junior engineers and contribute to architectural decisions. • Collaborate with product managers, data scientists, and DevOps teams. Required Skills & Qualifications • 3+ years of experience in software development with strong AI/ML background. • Hands-on Agent AI experience is mandatory. • Strong expertise in Generative AI and LLMs. • Proficiency in Python (mandatory); experience with Node.js or Java is a plus. • Experience with Agent AI frameworks (LangChain, AutoGen, CrewAI, Semantic Kernel, etc.). • Strong experience with AWS and Azure services: o AWS: Lambda, EC2, S3, Bedrock, SageMaker, API Gateway o Azure: Azure OpenAI, Azure Functions, Cognitive Services • Experience with Vector Databases (Pinecone, FAISS, Weaviate, ChromaDB). • Knowledge of RAG pipelines, embeddings, and fine-tuning concepts. • Familiarity with Docker, Kubernetes, CI/CD pipelines. • Strong problem-solving and system design skills. Good to Have • Experience with multi-modal AI models (text, image, audio). • Knowledge of MLOps and AI observability tools. • Experience working in SaaS or enterprise AI products. • Exposure to compliance, data privacy, and AI governance.