Senior AI Engineer - Generative AI / RAG

Ampcus, Inc; Chantilly (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

Ampcus, Inc is searching for a Senior AI Engineer specializing in Generative AI and Retrieval-Augmented Generation (RAG). The role involves designing AI solutions to build enterprise knowledge platforms and intelligent search solutions, requiring a minimum of 7 years in software engineering or AI/ML.

The ideal candidate will integrate advanced AI technologies, develop AI chatbots, and improve data retrieval systems. Collaboration across teams is essential to deliver scalable solutions effectively.

Qualifications

• 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.

Responsibilities

• Design and implement RAG-based AI solutions and enterprise knowledge bases.
• Integrate LLMs into business applications.
• Develop AI-powered chatbots and conversational AI platforms.
• Build and optimise data ingestion and retrieval pipelines.
• Collaborate with teams to deploy scalable AI solutions.
• Improve AI response quality and reduce hallucination.

Skills

Software engineering or AI/ML experience

Generative AI and RAG implementations

Python expertise

AI frameworks (LangChain, LlamaIndex)

LLM APIs and embeddings

Vector databases knowledge

AWS, Azure, or GCP cloud platform experience

APIs, Docker, Kubernetes familiarity

MLOps/LLMOps practices

Tools

Vector databases (Pinecone, FAISS, Weaviate, ChromaDB)

AI-powered chatbots

Job description

Position

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 optimise 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.