Job Summary

We are seeking an experienced Prompt Engineer with expertise in Generative AI, Large Language Models (LLMs), and Enterprise AI platforms. The ideal candidate will have hands-on experience designing, optimizing, and evaluating prompts that improve the accuracy, reliability, and performance of AI-powered applications.

The candidate will work closely with AI Engineers, Data Scientists, Product Owners, and Business Stakeholders to build enterprise-grade Generative AI solutions, develop prompt libraries, evaluate LLM performance, and integrate AI capabilities into business workflows.

Key Responsibilities

• Design, develop, and optimize prompts for enterprise Large Language Model (LLM) applications.
• Build prompt templates, prompt chains, and reusable prompt libraries for various business use cases.
• Evaluate prompt performance and continuously improve response quality, accuracy, and consistency.
• Collaborate with AI Engineers and Data Scientists to integrate prompts into AI-powered applications.
• Perform prompt testing, benchmarking, A/B testing, and output evaluation.
• Work with Retrieval-Augmented Generation (RAG) pipelines to improve response relevance.
• Develop prompt engineering best practices, documentation, and governance standards.
• Integrate prompts with APIs, chatbots, virtual assistants, and enterprise applications.
• Ensure responsible AI usage, data privacy, and security compliance.
• Stay current with emerging LLM technologies, prompt engineering techniques, and Generative AI advancements.

Required Skills & Qualifications

• Bachelor''s degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or related field.
• 5+ years of overall software development or AI experience.
• 2+ years of hands-on Prompt Engineering experience with Enterprise LLM platforms.
• Strong understanding of:
  • Prompt Engineering
  • Generative AI
  • Large Language Models (LLMs)
  • Natural Language Processing (NLP)
• Experience with:
  • OpenAI GPT Models
  • Azure OpenAI
  • Anthropic Claude
  • Google Gemini
  • Meta Llama
• Experience building AI chatbots and virtual assistants.
• Knowledge of Python for AI application development.
• Experience with REST APIs and AI service integrations.
• Strong analytical, problem-solving, and communication skills.
• Experience working in Agile/Scrum environments.

Preferred Skills

• LangChain
• LangGraph
• LlamaIndex
• Retrieval-Augmented Generation (RAG)
• Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Semantic Search
• AI Agents
• Function Calling / Tool Calling
• Prompt Evaluation Frameworks
• Hugging Face Transformers
• MLflow
• Docker
• Kubernetes
• Git
• CI/CD
• AWS Bedrock
• Azure AI Foundry
• Google Vertex AI

Technology Environment

• Prompt Engineering
• Large Language Models (LLMs)
• OpenAI / Azure OpenAI
• Anthropic Claude
• Google Gemini
• Meta Llama
• Python
• LangChain
• LangGraph
• LlamaIndex
• RAG (Retrieval-Augmented Generation)
• Vector Databases
• NLP
• REST APIs
• AI Agents
• Git
• Docker
• Kubernetes
• CI/CD
• AWS / Azure / Google Cloud Platform
• Agile / Scrum