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
