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

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AI Prompt Engineer (Future Talent)