> Markdown version of [/jobs/ext/1227623-ai-engineer-google-ai-generative-intelligence-full-time-role](https://www.wearedevelopers.com/jobs/ext/1227623-ai-engineer-google-ai-generative-intelligence-full-time-role). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - Google AI & Generative Intelligence - Full Time Role - **Company:** Saransh Inc - **Location:** Paramus, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** PHP (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Confluence, JIRA, Unit Testing, BigQuery, Cloud Computing, Software Quality, Software Debugging, Programming Tools, Drupal, Github, Python (Programming Language), Machine Learning, Node.Js, OAuth, Scrum Methodology, Lucidchart, Search Technologies, Smart Devices, Software Engineering, SonarQube, Systems Architecture, Systems Integration, Management of Software Versions, Eslint, Google Cloud, Cloud Platform System, GitHub Copilot, ReactJS, Large Language Models, Express.js, Multi-Agent Systems, Generative AI, Apigee, Backend, Gitlab, Git, Fastapi, Pytest, AngularJS, Machine Learning Operations, Gsuite, Front End Software Development, Virtual Agents, Restful APIs, GPT, Automation Anywhere, Mulesoft - **Published:** July 10, 2026 - **Apply:** https://www.careerjet.com/jobad/usc66dc89ed8127ce231cd9ef466e56372 ## About the Role Experience Required: 10 15 Years in Software Engineering | 3+ Years in Artificial Generative Intelligence, * 10 15 years of overall software engineering experience. * 3+ years of hands-on experience in Artificial Generative Intelligence, including LLMs, SLMs, RAG, and multi-agent systems. * Deep expertise in Google AI ecosystem: Gemini, Vertex AI, Google ADK, Google AI Studio, and Google Workspace integrations. * Proficiency in Python (primary) and familiarity with Node.js. * Strong background in cloud-native development on GCP. * Experience with multi-agent AI architectures using Semantic Kernel, or LangGraph. ## Description * We are seeking a highly experienced Senior AI Engineer with deep expertise in Google AI technologies and Generative AI. * The ideal candidate brings 10 15 years of broad software engineering experience, with the last 2+ years focused exclusively on Artificial Generative Intelligence, including designing, building, deploying, and monitoring production-grade AI systems. * This role demands mastery of the Google ecosystem - including Google Workspace, Google Agent Development Kit (ADK), and Vertex AI - alongside a strong command of modern LLM/SLM frameworks, cloud-native infrastructure, and MLOps best practices., 1. AI Engineering Design, develop, and deploy Agents leveraging commercial LLMs such as Gemini (Google), GPT (OpenAI), and Claude Sonnet (Anthropic) for high-performance, large-context, and multimodal tasks. 2. Google AI & Workspace Integration Lead the design and implementation of AI-powered solutions deeply integrated with Google Workspace (Docs, Sheets, Drive, Gmail, Meet), Big Query and Lakehouse. Architect and build intelligent agents and workflows using Google Agent Development Kit (ADK). Leverage Google AI Studio as the primary IDE, VSCode for AI application development and prototyping. Utilize Google Cloud Platform (GCP) services including: Vertex AI for ML model training, tuning, and deployment Vertex AI Vector DBs for semantic search and retrieval 3. Design & Planning Lead requirements gathering using Confluence for documentation and team collaboration. Create detailed system architecture diagrams and AI workflows using Lucidchart. Manage project delivery and sprint planning using Jira. 4. Development Frameworks & Tools Orchestrate LLM/SLM applications using LangChain, LlamaIndex, and LangGraph. Build multi-agent systems with Semantic Kernel, and LangGraph. Manage and optimize prompts using LangSmith and PromptLayer. Manage code and data versioning with Git. 5. Vector Databases & Semantic Search Implement semantic search and Retrieval-Augmented Generation (RAG) pipelines using Vertex AI Vector DBs and ChromaDB. Design and optimize end-to-end RAG architectures for enterprise-grade knowledge retrieval. 6. Backend Development Develop robust RESTful APIs using FastAPI (Python) or Express.js (Node.js). Manage and secure APIs using Mulesoft, Apigee. 7. Frontend Development Drupal Content Management System (PHP Backend + JS Frontend) - Drupal 10.4, PHP 8.1 Build modern user interfaces using React or Angular. Utilize Material-UI for consistent, accessible, and modern UI components. OAuth2 authentication. 8. Development Tools & Code Quality Write and debug code in VS Code with Python and GitHub Copilot extensions. Manage source code with GitHub or GitLab. Enforce code quality and standards using SonarQube, ESLint, and Pylint. 9. Testing & Quality Assurance Conduct LLM-specific testing using RAGAS and DeepEval for LLM/RAG pipeline evaluation. Use LangSmith Evaluators for prompt testing and hallucination detection. Write and execute unit tests using pytest. Ensure output quality and reliability using LangChain Evaluators and custom metrics. 10. Deployment & Infrastructure. Support on-premise, cloud (GCP/Vertex AI), and hybrid infrastructure deployments including edge devices for local inference., We're searching for a highly skilled and experienced senior engineer and Python expert to lead the design and development of the various AI-related technologies as part of Services… + 19 days ago, Why Join GEICO? At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage … + 1 month ago + ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [The Future of Developer Experience with GenAI: Driving Engineering Excellence](https://www.wearedevelopers.com/videos/1107-the-future-of-developer-experience-with-genai-driving-engineering-excellence) ## Related Articles - [Got AI ideas but no money? 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