AI Engineer / Agentic AI Developer

Job Description

We are seeking experiencedAI Engineers / Agentic AI Developersto design, develop, and deploy enterprise-grade AI solutions with a focus onAgentic AI,Large Language Models (LLMs), andRetrieval-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 anon-premises environmentusing 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 usingon-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+ yearsof software development experience, including2+ yearsworking with AI/Generative AI technologies.
• Strong experience withPythonand AI application development.
• Hands-on experience withLarge Language Models (LLMs)and prompt engineering.
• Experience designing and implementingRetrieval-Augmented Generation (RAG)solutions.
• Experience buildingAgentic AIor multi-agent systems.
• Experience integrating AI applications withREST APIs, databases, and enterprise applications.
• Familiarity with AI orchestration frameworks such asLangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar.
• Experience working with vector databases such asMilvus, ChromaDB, FAISS, Pinecone, or equivalent.
• Knowledge of model deployment usingOllama, vLLM, Hugging Face Transformers, NVIDIA NIM, or similar on-premises inference platforms.
• Experience deploying and managing AI solutions inon-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 asLlama, 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 thatall AI use cases must run on-premises using local models and on-premises tools, making it suitable for enterprise or government projects.