AI Prompt Engineer (Future Talent)

AI Prompt Engineer - Future Talent Technically sharp AI Prompt Engineer You’ll design and optimize prompts, build LLM-powered applications, and deploy scalable GenAI solutions that connect people and intelligent systems in new ways. 🔍 What You’ll Do • Design, test, and refine prompts for leading LLMs (GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere). • Experiment with advanced prompting techniques; Chain-of-Thought, ReAct, Tree-of-Thoughts, and more. • Deploy AI/ML pipelines using Azure ML, AWS SageMaker, Vertex AI, or Databricks. • Integrate LLMs into production apps using LangChain, LlamaIndex, and RAG architectures. • Build APIs and microservices for scalable AI deployment. • Use AI-powered dev tools like GitHub Copilot, Cursor, and Codeium to speed up iteration. • Apply MLOps/LLMOps practices with MLflow, Weights & Biases, and Kubeflow. ⚙️ You’ll Bring • Strong Python skills and experience with LangChain, Transformers, Hugging Face. • Solid grasp of LLM behavior, prompt optimization, and data engineering. • Familiarity with vector databases (FAISS, Pinecone, ChromaDB). • Hands-on with Linux, Bash/Powershell scripting, cloud environments. • Creative problem-solver with excellent communication and collaboration skills. • Curious, adaptable, and passionate about staying at the edge of Generative AI. 🚀 Nice to Have • Experience with PromptOps tools (PromptLayer, Humanloop, LangFuse). • Knowledge of ethical AI, bias mitigation, responsible AI principles. • Bachelor’s or Master’s degree in Computer Science, AI/ML or related field. Tech Stack LLMs: GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere Frameworks: LangChain, LlamaIndex, Haystack Tools: GitHub Copilot, Cursor, PromptLayer, Weights & Biases Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks • Infra: Python, Docker, Kubernetes, SQL, PyTorch