Senior AI Engineer – Generative AI RAG

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.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin age protected veterans or individuals with disabilities.