Senior AI Platform Engineer
CYNET SYSTEMS INC.
Boston, United States of America
7 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 125KJob location
Boston, United States of America
Tech stack
API
Artificial Intelligence
Amazon Web Services (AWS)
Software Applications
Software as a Service
Data Integration
Relational Databases
Cursor (Graphical User Interface Elements)
Github
Python
Next.js
SQL Databases
Workflow Management Systems
Amazon Web Services (AWS)
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
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