Develop and Optimize AI Prompts for LLMs, AI Automation, and API Integrations

We are looking for an experienced AI Prompt Engineer to design, develop, and optimize high-quality prompts for Large Language Models (LLMs) and AI-powered applications. The ideal candidate should have hands-on experience in prompt engineering, LLM optimization, AI automation, and API integrations. Key Responsibilities: Design, develop, and optimize prompts for AI models such as GPT, Claude, and Gemini. Build structured prompts to improve AI response accuracy, consistency, and efficiency. Develop and implement prompt chaining and context management techniques. Integrate LLMs with APIs and third-party applications. Test, evaluate, and refine AI-generated responses. Identify and resolve hallucinations, inconsistencies, and prompt-related issues. Collaborate with developers to implement AI-powered workflows and automation. Work with RAG, AI agents, and LLM frameworks when required. Required Skills: Strong expertise in prompt engineering and LLMs. Experience with OpenAI API and other LLM APIs. Knowledge of Python, JSON, and REST APIs. Familiarity with LangChain, LlamaIndex, or similar frameworks. Experience with AI automation and workflow optimization. Understanding of few-shot prompting, prompt chaining, and context engineering. Strong analytical, debugging, and problem-solving skills. Experience: 3–5 years of relevant experience, including hands-on work with LLMs and prompt engineering. Project Type: Ongoing / Long-term Preferred: Candidates who can start immediately. We are looking for someone who can independently develop reliable, scalable, and efficient AI solutions while continuously improving prompt quality and model performance.