Ai Platform Engineer Ii Job in Rapid7

AI Platform Engineer II

Location: Pune

Overview

At Rapid7, we are looking for an AI Platform Engineer to help us build production-ready, agent-based AI experiences on Google Cloud (Vertex AI) and OpenAI platforms. You will be directly responsible for developing and shipping features such as AI agents, tools, and lightweight UIs that plug into our internal systems and data, driving productivity improvements across the company.

As part of the AI Platform team, you will be involved in designing, implementing, and refining AI models and tools that integrate seamlessly with enterprise systems, while ensuring reliability, security, and scalability.

Key Responsibilities

• Agentic Development with Vertex AI:
  • Design and implement multi-step agents using Vertex AI (Agent Builder / Gemini), incorporating agent behaviors such as tool use, memory, and evaluation loops to create intelligent, autonomous workflows.
• MCP & Tool Integrations:
  • Develop Model Context Protocol (MCP) connectors and API integrations that enable agents to interact with enterprise systems while maintaining least-privilege access and security standards.
• RAG & Data Grounding:
  • Implement retrieval-augmented generation (RAG), utilizing vector stores, embeddings, and schema-aware prompts, while ensuring agents produce accurate and auditable outputs through robust guardrails.
• Vertex-based UI for Agents:
  • Prototype intuitive chat interfaces and task UIs, including features like session history, tool invocation panels, and feedback widgets. Embed AI agents into existing internal applications to streamline workflows and improve user experience.
• Integration & Data Access:
  • Connect AI agents to internal APIs and enterprise data sources (e.g., BigQuery, REST APIs, webhooks) using Google Cloud tools, ensuring smooth data access and system integration.
• Quality & Telemetry:
  • Define key performance indicators (KPIs) such as quality, latency, and cost-efficiency for AI-powered features. Implement logging, monitoring, and observability to track performance and run structured experiments to improve agent behavior and outcomes.

Requirements

Experience

• 2 3 years of hands-on experience in software or AI application engineering, with a focus on creating and deploying custom AI agents, particularly using Gemini / Vertex AI Agent Builder.

Technical Skills

• Proficiency with Google Cloud (Vertex AI, BigQuery, Cloud Run/Functions) and at least one large language model (LLM) API (e.g., OpenAI or Gemini).
• Experience building small end-to-end features, including backend APIs, agent logic, and basic UI for demos and production environments.
• Familiarity with agent frameworks such as LangGraph or LangChain, and common agent patterns like tool use, planning, and memory management.
• Knowledge of retrieval-augmented generation (RAG), including chunking, embeddings, and retrieval, along with prompt testing and evaluation.

Collaboration Skills

• Ability to work cross-functionally with security, data, and application teams to ensure safe and efficient deployment of AI-driven solutions.

Nice to Have

• Experience with GCP IAM, secrets management, and enterprise compliance considerations.
• Familiarity with Vertex AI Search, vector databases, or event/webhook architectures.
• Interest in emerging AI standards, MCP, responsible AI practices, and optimization for cost/performance.

About Rapid7

At Rapid7, we are on a mission to create a secure digital world for our customers, industry, and communities. We empower our employees to challenge the status quo and drive transformative change. With over 11,000 customers relying on us for cybersecurity protection, we continue to innovate and solve some of the most challenging problems in the industry.

Security and Compliance

Rapid7 is committed to safeguarding our customers' security. All employees uphold the highest standards of security and privacy, ensuring sensitive information is protected and compliance with relevant regulations is maintained.