Generative AI Application Engineer

• Proficiency in Python
• Experience with AI and ML libraries (e.g., LangChain, Hugging Face, PyTorch, TensorFlow)
• Strong understanding of LLMs, prompt engineering, and RAG architecture
• Experience with vector databases
• Familiarity with cloud platforms

Job Responsibilities:

• Design and develop GenAI-powered applications using Python and modern AI frameworks.
• Engineer and optimize prompts for LLMs.
• Implement RAG pipelines aggregating data from such diverse sources as conversation histories and product documentation.
• Integrate and manage vector databases for semantic search and context retrieval.
• Collaborate with product managers, data scientists, and DevOps teams to deliver scalable AI solutions.
• Fine-tune pre-trained LLMs for domain-specific tasks and performance improvements.
• Ensure robust testing, monitoring, and documentation of AI models and pipelines