Aretec, Inc. is seeking to lead the development and integration of their Model Context Protocol (MCP) server with AWS Bedrock to enable seamless communication across AI and backend systems for federal government clients.
Requirements
- 7+ years of Python development experience.
- Strong experience with FastAPI or similar web frameworks.
- Proficiency with Pandas for data manipulation and analysis.
- Hands-on experience with Jupyter Notebooks for prototyping and analysis.
- Understanding of RESTful API design principles.
- Experience with AWS services (Bedrock experience a plus).
- Knowledge of API security and authentication standards.
Responsibilities
- Design and implement MCP server architecture for AWS Bedrock integration.
- Develop and maintain RESTful APIs using FastAPI.
- Collaborate with internal teams to expose existing APIs through the MCP layer.
- Write clean, maintainable Python code with comprehensive documentation.
- Implement data processing workflows using Pandas and Jupyter Notebooks.
- Ensure security best practices and proper API authentication mechanisms.
- Participate in code reviews and technical design discussions.
Other
- Complete onboarding and gain familiarity with Aretec's technology stack and MCP integration goals.
- Review existing API frameworks and Bedrock integration plans.
- Begin contributing to MCP server development and prototype API integrations.
- Participate in design sessions and code reviews.
- Take ownership of MCP architecture implementation.
- Collaborate closely with data scientists and backend teams to streamline data workflows.
- Lead full MCP-to-Bedrock integration deployment.
- Optimize performance, security, and scalability.
- Mentor junior developers and share best practices across the team.
- Only sole U.S. Citizens can be considered for this position.
