AI Engineer / Agentic AI Developer

Job Description We are seeking experienced **AI Engineers / Agentic AI Developers** to design, develop, and deploy enterprise-grade AI solutions with a focus on **Agentic AI**, **Large Language Models (LLMs)**, and **Retrieval-Augmented Generation (RAG)**. The successful candidate will be responsible for building intelligent AI agents and workflows capable of reasoning, planning, task execution, and orchestration while ensuring all solutions are deployed in an **on-premises environment** using local AI models and tools. Key Responsibilities * Gather, analyze, and translate business requirements into scalable AI and Agentic AI solutions. * Design, develop, test, deploy, and maintain AI-powered applications and autonomous AI agents. * Build Agentic AI workflows capable of reasoning, planning, task execution, and orchestration. * Develop and integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent architectures. * Integrate AI solutions with enterprise applications, APIs, databases, cloud services, and on-premises systems. * Optimize AI models, prompts, workflows, and application performance. * Ensure AI solutions comply with enterprise security, governance, privacy, and Responsible AI standards. * Prepare technical documentation, deployment guides, operational manuals, and knowledge transfer materials. * Provide technical support, troubleshooting, performance tuning, and continuous improvements. * Design and implement AI solutions using **on-premises infrastructure, local models, and enterprise-approved AI tools**. **Requirements** * Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field. * **5+ years** of software development experience, including **2+ years** working with AI/Generative AI technologies. * Strong experience with **Python** and AI application development. * Hands-on experience with **Large Language Models (LLMs)** and prompt engineering. * Experience designing and implementing **Retrieval-Augmented Generation (RAG)** solutions. * Experience building **Agentic AI** or multi-agent systems. * Experience integrating AI applications with **REST APIs**, databases, and enterprise applications. * Familiarity with AI orchestration frameworks such as **LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen**, or similar. * Experience working with vector databases such as **Milvus, ChromaDB, FAISS, Pinecone**, or equivalent. * Knowledge of model deployment using **Ollama, vLLM, Hugging Face Transformers, NVIDIA NIM**, or similar on-premises inference platforms. * Experience deploying and managing AI solutions in **on-premises environments**. * Understanding of AI security, governance, privacy, and Responsible AI principles. * Experience with Docker, Kubernetes, Git, and CI/CD pipelines is preferred. * Strong analytical, problem-solving, communication, and documentation skills. Preferred Skills * Experience with open-source LLMs such as **Llama, Mistral, Qwen, Gemma, or DeepSeek**. * Experience with GPU infrastructure and AI model optimization. * Knowledge of MLOps practices and AI monitoring. * Experience integrating AI solutions with enterprise platforms such as SAP, ServiceNow, Microsoft 365, or other enterprise systems. * Experience working in highly secure or regulated enterprise environments. This JD is aligned with your requirement that **all AI use cases must run on-premises using local models and on-premises tools**, making it suitable for enterprise or government projects.