Prompt Engineer

Overview

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Role Overview:
Design and optimize prompts for large language models to build robust AI applications. Develop LLM-powered solutions using Lang Chain and vector databases.

• Design, test, and optimize prompts for LLMs to achieve desired outputs and behaviors
• Build and deploy LLM applications using Lang Chain and related frameworks
• Implement RAG (Retrieval Augmented Generation) systems with vector databases
• Develop prompt templates, chains, and agents for various use cases
• Evaluate and benchmark LLM performance across different prompting strategies
• Collaborate with engineers and product teams to integrate LLM solutions

• Bachelor's degree in Computer Science, Engineering, Linguistics, or related field
• Proven experience in LLM prompting and prompt engineering techniques
• Strong hands-on experience with Lang Chain framework
• Proficiency with vector databases (Pinecone, Weaviate, Chroma
  
  DB, FAISS)
• Understanding of LLM capabilities, limitations, and best practices
• Experience with OpenAI, Anthropic, or other LLM APIs
• Proficiency in Python

• Experience with prompt optimization techniques (few-shot, chain-of-thought, ReAct)
• Knowledge of embedding models and semantic search
• Familiarity with LLM evaluation frameworks
• Understanding of agentic workflows and tool-using LLMs
• Experience with MLOps and production deployment

• Entry level

• Full-time

• IT Services and IT Consulting