Senior AI Engineer: Google AI & Generative Intelligence

Harper Adams University; Paramus (NJ); On-site; USD 150,000 - 190,000; Full time

Job summary

We are seeking a highly experienced Senior AI Engineer with deep expertise in Google AI technologies and Generative AI. The candidate will bring 10–15 years of software engineering experience, with the last 2+ years focused on AI, MLOps, and production-grade AI systems.

Responsibilities include designing, building, deploying, and monitoring AI agents that leverage Gemini, GPT, and Claude, integrating with Google Workspace, Vertex AI, and supporting data pipelines, APIs, and front-end workflows.

Qualifications

• 10–15 years of overall software engineering experience.
• 3+ years in Artificial Generative Intelligence, including LLMs and multi-agent systems.
• Deep expertise in Google AI ecosystem: Gemini, Vertex AI, Google ADK, Google Workspace integrations.
• Proficiency in Python; familiarity with Node.js.
• Strong background in cloud-native development on GCP.

Responsibilities

• Design, develop, and deploy Agents leveraging LLMs for high-performance tasks.
• Lead Google Workspace integration with Docs, Sheets, Drive, Gmail and more.
• Plan requirements and architecture using Confluence and Jira.
• Develop AI workflows using LangChain, LangGraph, and Semantic Kernel.
• Implement semantic search and RAG pipelines with Vertex AI Vector DBs and ChromaDB.
• Build robust RESTful APIs with Python/ FastAPI or Node.js/Express.

Skills

Software engineering

Generative AI

Python

Cloud computing

Tools

Vertex AI

Google ADK

LangChain

ChromaDB

Job description

We are seeking a highly experienced Senior AI Engineer with deep expertise in Google AI technologies and Generative AI. The candidate will bring 10–15 years of software engineering experience, with the last 2+ years focused on AI, MLOps, and production-grade AI systems.

Responsibilities include designing, building, deploying, and monitoring AI agents that leverage Gemini, GPT, and Claude, integrating with Google Workspace, Vertex AI, and supporting data pipelines, APIs, and front-end workflows.