Prompt Engineering Jobs
Prompt Engineering is a technical and engineering specialty focused on creating products and solutions that require rapid response time and efficient automation. A Prompt Engineer is responsible for the design and configuration of the solutions necessary to ensure systems are optimally configured at all layers, from cloud infrastructure to a graphical user interface. At the intersection of development and operations, they strive to balance product efficiency and delivery velocity.
Prompt Engineers can provide companies with the support they need to build and deliver top-of-the-line solutions, fine-tuning detailed requirements while keeping up momentum. They can build automated systems for tasks as varied as deploying applications, automating tasks, performing predictive maintenance on hardware components, and devising solutions for single page applications.
Here's some projects that our expert Prompt Engineers made real:
- Developed an automated system for deploying applications in an environment with no server access
- Configured cloud infrastructure to run multi-tier application deployments
- Built an AI powered predictive maintenance system for hardware units
- Implemented a single page application to manage data in real time
Prompt Engineers have the skills necessary to build effective solutions quickly, no matter what the situation may be. With Freelancer.com's marketplace, companies can discover talented Prompt Engineers from anywhere in the world and Post A Project to get the help they need fast. So, if you're looking for an effective and efficient solution, take advantage of Freelancer.com's global network of Prompt Engineers and find help today!
From 3,044 reviews, clients rate our Prompt Engineers 4.93 out of 5 stars.Hire Prompt Engineers
Who we are looking for: We need a senior full-stack expert to fix our LLM-integrated chatbot server. The project is almost done and if you are an expert, it can be done within a day. What project is it? The project is made up of two parts. - The LLM server which hosted open-source LLM model. - The fastapi server which is interacting with LLM server and front-end. The fastapi server is interacting with LLM server with OpenAI and langchain and generates responses for human responses. The back-end retrieves results from MongoDBAtlas but from multiple collections and based on the retrieval result, it generates the appropriate answer for the human response. What issues are there? The main issue is that the chatbot doesn't work well as we expect. For example, the chain doesn't gene...
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