What are the responsibilities and job description for the Generative AI Engineer position at Ampcus Inc?
Job Summary
We are seeking a Senior AI Engineer with strong expertise in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) to build enterprise AI knowledge platforms and intelligent search solutions. The ideal candidate will have hands-on experience designing scalable AI applications using vector databases, semantic search, and modern AI orchestration frameworks.
Key Responsibilities
- Design and implement RAG-based AI solutions and enterprise knowledge bases.
- Integrate LLMs (OpenAI, Claude, Llama, etc.) into business applications.
- Develop AI-powered chatbots, search, and conversational AI platforms.
- Build and optimize data ingestion, embedding, and retrieval pipelines.
- Work with vector databases such as Pinecone, FAISS, Weaviate, or ChromaDB.
- Collaborate with engineering and business teams to deploy scalable AI solutions.
- Improve AI response quality, grounding, and hallucination reduction.
Required Skills
- 7 years of software engineering or AI/ML experience.
- Strong hands-on experience with Generative AI and RAG implementations.
- Expertise with Python and AI frameworks such as LangChain or LlamaIndex.
- Experience with LLM APIs, embeddings, semantic search, and prompt engineering.
- Knowledge of vector databases and enterprise AI architecture.
- Experience with AWS, Azure, or GCP cloud platforms.
- Familiarity with APIs, Docker, Kubernetes, and MLOps/LLMOps practices.
Preferred Skills
- Experience with AI agents, fine-tuning, or Graph RAG.
- Knowledge of AI governance, security, and responsible AI.
- Experience building enterprise AI assistants or knowledge management solutions.