Senior Fullstack Engineer, Agentic Experience

DEVVISION; United States; On-site; USD 132,000 - 165,000; Full time

Job summary

DEVVISION is seeking a Senior Engineer for the Platform Infrastructure team in the United States. You will design and build systems that bring AI agents into production, connecting agents to the platform via APIs, data connectors, and MCP servers.

You will work across frontend, backend, and governance layers to enable enterprise deployments. You will contribute to cloud infrastructure planning, implement guardrails for safety and compliance, and help users discover and select agents for their

Qualifications

• 7+ years of professional software engineering experience in full-stack and distributed systems.
• 2+ years designing or deploying AI-powered applications using agent frameworks (LangChain, LangGraph, CrewAI, Semantic Kernel or OpenAI Agents SDK).
• Experience building and deploying AI agents at scale in production.
• Experience deploying MCP servers as an integration layer for production agents.
• Understanding operational challenges of agentic systems and implementing safety/governance controls.
• Proficiency in Node.js and Python for reliable API development and data connector integrations.
• Strong React and TypeScript experience for intuitive AI agent interfaces.

Responsibilities

• Design and build platforms for running AI agents, connecting them to existing systems via APIs, data connectors, and MCP servers.
• Implement security, safety, and governance guardrails for enterprise use.
• Build systems and interfaces to help users discover, evaluate, and select AI agents for workflows.
• Develop frontend applications using React and TypeScript, plus backend services in Node.js and Python.
• Participate in client-facing technical discussions and incorporate real-user feedback.
• Contribute to cloud infrastructure and database strategies to support long-term development.

Skills

Full-stack engineering

Distributed systems

API development

React

TypeScript

Node.js

Python

AI agent development

Security governance

Tools

LangChain / LangGraph frameworks

CrewAI

Microsoft Semantic Kernel

OpenAI Agents SDK

MCP servers

Job description

Annual compensation: USD $132,000–$165,000 + equity

DEVVISION is recruiting on behalf of an enterprise software company building AI-powered automation into its platform.

As a Senior Engineer on the Platform Infrastructure team, you will design and build the systems that bring AI agents into production. Your work will span agent integrations, backend services, user interfaces, and the safety and governance controls required for reliable enterprise use.

You will connect agents to the platform through APIs, data connectors, and custom Model Context Protocol (MCP) servers, while helping users discover and interact with agents suited to their business workflows.

What you will do

• Design and build platforms for running AI agents, connecting them to existing systems through APIs, data connectors, and custom MCP servers.
• Implement and maintain security, safety, and governance guardrails that support reliable and compliant enterprise use.
• Build systems and interfaces that help users discover, evaluate, and select AI agents for their workflows.
• Develop frontend applications using React and TypeScript, alongside backend services using Node.js and Python.
• Participate in client-facing technical discussions, demonstrate solutions, and incorporate implementation feedback and real-user monitoring insights.
• Help shape cloud infrastructure and database strategies to support the platform’s long-term development.

What you bring

• 7+ years of professional software engineering experience, including full-stack applications and distributed systems.
• 2+ years designing or deploying AI-powered applications using one or more established agent frameworks, such as LangChain, LangGraph, CrewAI, Microsoft Semantic Kernel, or the OpenAI Agents SDK.
• Practical experience building and deploying AI agents at scale in production.
• Experience deploying MCP servers as an integration and enablement layer for production agents.
• An understanding of the operational challenges of agentic systems and hands-on experience implementing safety and governance controls.
• Proficiency in both Node.js and Python, including reliable API development and data connector integrations.
• Strong React and TypeScript experience, with the ability to build intuitive interfaces for interacting with AI agents.
• Strong cloud infrastructure knowledge and experience managing environments that support production applications and agents.

Technology environment

React, TypeScript, Node.js, Python, APIs, data connectors, MCP servers, agent frameworks, distributed systems, and cloud infrastructure such as AWS or Google Cloud.