Artificial Intelligence Engineer

Job Summary We are looking for a highly motivated AI Engineer to design, develop, and deploy enterprise AI solutions using Large Language Models (LLMs), Generative AI, and intelligent automation technologies. The ideal candidate should have hands-on experience with modern AI platforms such as Claude (Anthropic), Open AI GPT, Google Gemini, and other foundation models, along with strong programming and cloud integration skills. The candidate will be responsible for building AI-powered assistants, automating business workflows, integrating AI APIs into enterprise applications, and ensuring secure and scalable AI deployments. Job description • Design, develop, and deploy AI-powered applications using Large Language Models (LLMs). • Develop enterprise AI assistants, chatbots, document analysis solutions, and workflow automation tools. • Integrate Claude (Anthropic), Open AI GPT, Google Gemini, or other LLM APIs into internal applications. • Design and implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge bases. • Build prompt engineering frameworks for accurate and reliable AI responses. • Fine-tune prompts and optimize AI performance for business use cases. • Develop AI agents capable of performing multi-step tasks and tool integrations. • Work with vector databases for semantic search and knowledge retrieval. • Integrate AI solutions with REST APIs, databases, Microsoft 365, SharePoint, SAP, CRM, ERP, and other enterprise systems. • Implement AI security, governance, and responsible AI best practices. • Monitor AI application performance and optimize latency, cost, and accuracy. • Collaborate with business teams to identify AI automation opportunities. • Create technical documentation, deployment guides, and user documentation. • Stay updated with the latest advancements in Generative AI and LLM technologies. Nice-to-Have: • MCP (Model Context Protocol) implementation experience. • Multi-agent AI architecture. • Voice AI applications. • OCR and document intelligence. • Computer Vision basics. • AI workflow automation. • Experience with GitHub Copilot, Claude Code, or AI-assisted software development. • Experience integrating AI with enterprise ticketing and ITSM platforms. AI & Machine Learning • Large Language Models (LLMs) • Generative AI • Prompt Engineering • Retrieval-Augmented Generation (RAG) • AI Agents • Semantic Search • Vector Embeddings • Natural Language Processing (NLP) • Machine Learning fundamentals Claude (Anthropic) Required Skills • Hands-on experience with Claude API integration. • Strong understanding of Claude models and their capabilities. • Experience designing prompts specifically for Claude. • Knowledge of Claude tool use/function calling. • Experience building conversational AI solutions using Claude. • Familiarity with Claude context management and long-context prompting. • Experience implementing Retrieval-Augmented Generation (RAG) with Claude. • Knowledge of Claude safety features and secure AI implementation. • Experience optimizing prompts for accuracy, consistency, and reduced hallucinations. • Understanding of Claude API authentication, rate limits, and production deployment. Preferred Qualifications • Bachelors degree in computer science, Information Technology, Artificial Intelligence, or a related field. • AI/ML certifications are an advantage. • Experience with enterprise AI deployments. • Experience building production-ready AI applications. • Knowledge of Responsible AI, AI governance, and data privacy.