Senior AI Platform Engineer
Boston, New York, United States of America
Contract
1 week ago
Key skills
PythonSQLAIOpenAIClaudeAWSDockerECSCloudFormationAWS CDKVercelLambdaGitHubCI/CD
About this role
We are looking for Senior AI Platform Engineer for our client in Boston, MA
Job Title: Senior AI Platform Engineer
Job Location: Boston, MA
Job Type: Contract
Job Overview:
Pay Range: $55hr - $60hr
Requirement/Must Have:
- 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.
Responsibilities:
- 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.