AI Prompt Engineer - Future Talent

Technically sharpAI Prompt Engineer

Youll design and optimize prompts, build LLM-powered applications, and deploy scalable GenAI solutions that connect people and intelligent systems in new ways.

What Youll 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.

Youll 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.
• Bachelors or Masters 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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