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# Senior AI Platform Engineer

- **Company:** CYNET SYSTEMS INC.
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Salary:** $114,400.0 - $124,800.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Software as a Service, Data Integration, Relational Databases, Cursor (Graphical User Interface Elements), Github, Python (Programming Language), Next.js, SQL Databases, Workflow Management Systems, AWS Cdk, Cloudformation, Containerization, AI Platforms, Cyber Warfare, Automation Anywhere, Docker
- **Published:** July 11, 2026
- **Apply:** https://www.careerjet.com/jobad/us5e602cdf7f2c3fb4c053c3e350d3134a

## About the Role

* 1+ years of strong full stack development experience with Python.
 * Proficiency with SQL for querying, analyzing, and integrating data from relational databases.
 * Proficiency with docker/containerized workloads in AWS.
 * Experience building, deploying, and maintaining cloud-based applications on AWS, such as ECS, Lambda, and AgentCore.
 * Experience with Infrastructure as code using AWS CloudFormation and/or AWS CDK.
 * Experience with CI/CD pipelines using GitHub Workflows and Actions.
 * Experience building AI-powered applications, automations, agents, or workflow tools.
 * Hands-on experience with AI model APIs and SDKs, including FastMCP, OpenAI SDK, Claude SDK, Vercel AI SDK, or AWS Strands.
 * Active use of AI-assisted coding tools such as Cursor, Claude Code, Codex, or OpenCode.
 * Experience implementing secure authentication, authorization, and access-control patterns.

## Description

* Build and extend an internal AI platform for creating, deploying, and managing AI-powered workflows using FastMCP.
 * Develop full stack applications and services in Python.
 * Build infrastructure to host, deploy, and operate MCP servers.
 * Implement secure auth patterns to govern access to tools, data, and business resources through MCP.
 * Design, implement, and maintain AI workflows that streamline repetitive, tedious, or time-consuming business tasks using FastMCP.
 * Develop secure integrations with internal systems, external APIs, and AI model providers.
 * Build and maintain CI/CD pipelines (GitHub Workflows/Actions) for reliable, repeatable deployments.
 * Use AWS CloudFormation and/or AWS CDK to manage infrastructure as code.
 * Collaborate with stakeholders across various departments to translate workflows into scalable technical solutions.
 * Help define best practices for building, deploying, securing, and operating AI workflows across the organization., Who we are looking for We are looking for a Senior Security Engineer, Cyber Defense Platforms reporting directly to the Head of Defensive Engineering and Architecture. This role …
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