Description

You will design and deploy production-grade AI systems leveraging Google AI technologies and Generative AI. With 10+ years of software engineering experience, including 2+ years focused on artificial generative intelligence, you will own the full lifecycle of intelligent agents and workflows.

Responsibilities

• Design, develop, and deploy agents using Gemini, GPT, and Claude for large-context and multimodal tasks.
• Build intelligent workflows integrated with Google Workspace and BigQuery using the Google Agent Development Kit (ADK) and Vertex AI.
• Architect and optimize Retrieval-Augmented Generation (RAG) pipelines using Vertex AI Vector DBs and ChromaDB.
• Develop RESTful APIs with FastAPI or Express.js and secure them via Mulesoft or Apigee.
• Implement multi-agent systems using LangGraph and Semantic Kernel, ensuring rigorous testing with RAGAS and DeepEval.

Required Skills

• 10–15 years of broad software engineering experience.
• 2+ years of hands-on experience in Generative AI, LLMs, and SLMs.
• Deep expertise in the Google ecosystem: Vertex AI, Gemini, Google ADK, Google AI Studio, and Google Workspace integrations.
• Proficiency in Python as the primary language; familiarity with Node.js.
• Experience orchestrating LLM applications with LangChain, LlamaIndex, and LangGraph.
• Strong background in cloud-native development on Google Cloud Platform (GCP).
• Experience building multi-agent architectures using Semantic Kernel or LangGraph.
• Proficiency in vector databases (Vertex AI Vector DBs, ChromaDB) and semantic search.
• Ability to manage code, data versioning, and quality using Git, SonarQube, and VS Code.

Preferred Skills

• Experience with Drupal (PHP 8.1) and modern frontend frameworks (React/Angular) for AI application UIs.
• Familiarity with on-premise and hybrid infrastructure deployments including edge devices.

Key Skills

Education

Any Graduate