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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