Senior AI Engineer — Google Gen AI & Vertex AI (Onsite)

Saransh Inc; Paramus (NJ); On-site; USD 180,000 - 260,000; Full time

Job summary

Saransh Inc. seeks a Senior AI Engineer in Paramus, NJ, to lead development of AI agents and production-grade systems using Google AI tools and generative models.

You will architect, implement, test, and monitor end-to-end AI solutions integrated with Google Workspace and Vertex AI, driving scalable ML pipelines. Require 10–15 years in software engineering with 3+ years in artificial generative intelligence; strong Python skills and cloud-native experience on GCP; familiarity with LangChain,

Qualifications

• 10+ years of overall software engineering experience.
• 3+ years in Artificial Generative Intelligence.
• Proven experience with Google AI ecosystem and Vertex AI.
• Proficient in Python; Node.js familiarity helpful.
• Experience with cloud-native development on GCP and MLOps.
• Experience with multi-agent AI architectures.

Responsibilities

• Design, develop, and deploy AI agents using commercial LLMs.
• Integrate AI solutions with Google Workspace and GCP Vertex AI.
• Lead requirements gathering and architecture diagrams.
• Develop RESTful APIs and secure integrations.
• Ensure testing and monitoring of AI systems with MLOps.

Skills

Software engineering

Generative AI

Python

Node.js

GCP Cloud

Multi-agent systems

LangChain/LangGraph

Prompt engineering

Education

Bachelor's degree in Computer Science or related field

Tools

Gemini (Google)

Vertex AI

Google ADK

Google AI Studio

Google Workspace integrations

LangChain

LlamaIndex

LangSmith

ChromaDB

RAG pipelines

Job description

Saransh Inc. seeks a Senior AI Engineer in Paramus, NJ, to lead development of AI agents and production-grade systems using Google AI tools and generative models.

You will architect, implement, test, and monitor end-to-end AI solutions integrated with Google Workspace and Vertex AI, driving scalable ML pipelines. Require 10–15 years in software engineering with 3+ years in artificial generative intelligence; strong Python skills and cloud-native experience on GCP; familiarity with LangChain,