Ampcus inc

Senior AI Engineer - Generative AI / RAG

Ampcus inc$120K — $150K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7 years of software engineering or AI/ML experience
  • Expertise in Generative AI and RAG implementations
  • Proficient in Python and AI frameworks like LangChain or LlamaIndex
  • Familiar with LLM APIs, embeddings, semantic search, and prompt engineering
  • Knowledgeable in vector databases and enterprise AI architecture
  • Experienced with AWS, Azure, or GCP cloud platforms
  • Understanding of APIs, Docker, Kubernetes, and MLOps/LLMOps practices

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

Benefits

  • Access to advanced technology and innovative projects
  • Opportunity to work with a talented team in a fast-paced environment
  • Flexibility in work arrangements
  • Professional development and growth opportunities
  • Collaborative culture and support for new ideas
Full Job Description
Job Title: Senior AI Engineer - Generative AI / RAG
Job Location: Chantilly, VA


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.

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