Intermediate Chatbot Developer to design, develop, and deploy sophisticated chatbots and AI assistants - 19457

Our valued client is seeking an Intermediate Chatbot Developer to design, develop, and deploy sophisticated AI assistants using state-of-the-art LLMs- 19457

An initial 6-month contract with possibility of extension. 100% remote contract. 7.5 hours per day, Monday to Friday.

As a LLM Specialist and Data Scientist, you'll join our innovative team developing next-generation conversational AI solutions. You will be instrumental in designing, developing, and deploying sophisticated chatbots and AI assistants that transform how our business interacts with customers. Working alongside talented engineers and product teams, you'll leverage cutting-edge Large Language Models to create intelligent, context-aware conversational experiences while ensuring robust deployment in our Google Cloud infrastructure.

Responsibilities:

• Participate to the development of AI-powered conversational agents using state-of-the-art LLMs (GPT 4.0, Claude 3.5, Gemini2.0)
• Design and implement prompt engineering strategies for optimal model performance
• Develop and optimize RAG (Retrieval Augmented Generation) pipelines
• Deploy and maintain production-ready AI solutions in Google Cloud Platform
• Drive continuous improvement, continuous monitoring and continuous deployment

Must Have Skills:

• Strong experience with LLM frameworks (LangChain, LlamaIndex) and RAG Pipelines
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow)
• Experience with Model Context protocol (MCPs)
• Google Cloud Platform (GCP) expertise
• Knowledge of semantic caching strategies
• Familiarity with multiple LLM providers (OpenAI, Anthropic, Google)

Nice to have skills:

• Experience with chatbot frameworks (e.g., Rasa, Botpress, Microsoft Bot Framework)
• Knowledge of enterprise security and compliance requirements for AI systems
• Understanding of chatbot analytics and performance monitoring
• Experience with hybrid approaches combining rule-based and AI-powered responses