Senior AI Platform Engineer

CYNET SYSTEMS INC.
Boston, MA, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Compensation
$114,400.0 - $124,800.0
Working hours
Regular working hours

Tech stack

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
+8 more
Workflow Management Systems AWS Cdk Cloudformation Containerization AI Platforms Cyber Warfare Automation Anywhere Docker

Job 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 …
  • 1 day ago +

Requirements

  • 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.

Benefits & conditions

  • $90,000-157,500 per year

About the company

  • Burlington, MA
  • $100,000-135,000 per year About Johnson Controls Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use ene…, + Burlington, MA

  • $100,000-145,000 per year About Johnson Controls Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use ene…

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