Generative AI Engineer
AceStack · ·
About the Role
We are seeking a talented Generative AI Engineer to design, build, and deploy AI-powered applications using Large Language Models (LLMs) and modern AI frameworks. You will work closely with product managers, software engineers, and data teams to develop intelligent solutions that automate workflows, enhance user experiences, and drive business innovation. The ideal candidate has strong experience with Python, LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, and cloud AI services. Responsibilities: Design, develop, and deploy Generative AI applications using leading LLMs such as GPT, Claude, Gemini, Llama, and Mistral. Build scalable AI solutions utilizing Retrieval-Augmented Generation (RAG) architectures. Develop AI agents and autonomous workflows using frameworks like LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel. Create robust prompt engineering strategies to optimize AI performance. Integrate vector databases such as Pinecone, Weaviate, Chroma, Milvus, or FAISS. Build APIs and AI microservices using Python and FastAPI. Fine-tune, evaluate, and optimize open-source language models. Integrate AI capabilities with enterprise systems and third-party APIs. Monitor AI model performance, hallucinations, latency, and operational costs. Implement AI security, governance, and responsible AI best practices Show more Show less
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