Senior AI Engineer: Google AI & Generative Intelligence

Saransh Inc; Paramus (NJ); On-site; USD 190,000 - 260,000; Full time

Job summary

Saransh Inc is seeking a senior AI engineer with deep expertise in Google AI technologies and Generative AI, based in Paramus, NJ onsite. The role requires 10-15 years in software engineering and 3+ years focused on Generative AI, including production-ready AI systems.

You will design, deploy, and monitor agents using Gemini, GPT, Claude Sonnet, and integrate with Google Workspace, Vertex AI, and BigQuery. Strong Python skills and cloud-native GCP work are essential.

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, Vertex AI, Google ADK and Workspace integrations.
• Proficiency in Python (primary) and familiarity with Node.js.
• Cloud-native development experience on GCP.
• Experience with multi-agent AI architectures using Semantic Kernel or LangGraph.

Responsibilities

• Design, develop, and deploy AI agents and workflows with Google AI tools.
• Integrate AI solutions with Google Workspace, BigQuery and Lakehouse.
• Architect intelligent agents and RAG pipelines for enterprise knowledge retrieval.
• Lead project delivery, planning, and RESTful API development.
• Employ LangChain, LangSmith, and evaluation tools for quality assurance.

Skills

Python programming

AI engineering

Cloud experience

Tools

Google Vertex AI

LangChain

LangGraph

ChromaDB

VSCode

GitHub Copilot

Git

LangSmith

Job description

Saransh Inc is seeking a senior AI engineer with deep expertise in Google AI technologies and Generative AI, based in Paramus, NJ onsite. The role requires 10-15 years in software engineering and 3+ years focused on Generative AI, including production-ready AI systems.

You will design, deploy, and monitor agents using Gemini, GPT, Claude Sonnet, and integrate with Google Workspace, Vertex AI, and BigQuery. Strong Python skills and cloud-native GCP work are essential.