• Design and implement advanced AI workflows and agent-based architectures
• Apply and fine-tune RAG (Retrieval-Augmented Generation) pipelines
• Craft high-quality prompts and experiment with prompt engineering strategies
• Work with Langchain and other LLMOps tools to optimize chatbot performance
• Analyze user behavior to improve system accuracy and naturalness
• Collaborate closely with engineers and product teams to test and deploy improvements
• Stay ahead of trends in LLMs and conversational AI
Requirements:
• Proven experience with GPT or other large language models
• Hands-on experience building AI agents and agentic workflows
• Deep understanding of RAG and its real-world implementation
• Strong Python skills and familiarity with vector databases
• Experience with Langchain and LLMOps best practices
• Excellent English skills for prompt writing and collaboration
• Analytical mindset and proactive approach to experimentation
• Passion for AI and continuous learning
Python4 years
LangChain4 years
RAG4 years
JavaScript4 years
Artificial Intelligence (AI)4 years
EnglishB2 - Upper Intermediate