Full Stack Engineer, AI Platform & Workflow

Full Stack Engineer AI Platform & Workflow

We need strong on Python & SQL

2-3 days in office Boston MA

Long Term Contract

About the role client is hiring Full Stack Engineers to build an internal AI platform that streamlines day-to day work across Sales Content Marketing and Engineering.

The platform is the foundation for building deploying and governing AI-powered workflows across the organization.

The work includes hosting and running MCP servers developing AI workflow capabilities implementing secure auth patterns and enabling teams to safely connect AI agents to approved tools systems and resources. This role suits engineers excited about practical AI applications developer platforms and reusable foundations that help teams work more efficiently.

Full Stack Engineer AI Platform & Workflow Automation

Python & SQL Must-Haves You will not be a fit without all of the following:

• Strong full stack development with Python.
• Proficiency with SQL for querying analyzing and integrating data from relational databases.
• Proficiency with docker/containerized workloads in AWS.
• Building deploying and maintaining cloud-based applications on AWS. E.g. ECS Lambda AgentCore.
• Infrastructure as code with AWS CloudFormation and/or AWS CDK.
• CI/CD pipelines using GitHub Workflows and Actions.
• Building AI-powered applications automations agents or workflow tools.
• Developing or integrating with MCP servers tool-calling systems or similar plugin architectures.
• Hands-on work with AI model APIs and SDKs. Any of the following 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.
• Implementing secure authentication authorization and access-control patterns.

What Youll Do

• 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 Sales Content Marketing and Engineering to translate workflows into scalable technical solutions.
• Help define best practices for building deploying securing and operating AI workflows across the organization.