Senior AI Platform Engineer
CYNET SYSTEMS INC.
Boston, MA, United States
about 1 month ago
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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
Job source
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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