AI Engineer / Agentic AI Developer

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.