Req number:
R8077Employment type:
Full timeWorksite flexibility:
RemoteWho we areCAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.
Job Summary
We are looking for a motivated Python MCP Developer ready to take us to the next level! If you have senior-level Python development experience, hands-on experience with FastMCP, and experience deploying Python services on AWS Lambda and/or VM-based infrastructure, and are looking for your next career move, apply now.Job Description
We are looking for a Python MCP Developer to build, configure, and deploy Model Context Protocol (MCP) servers that connect AI agents to enterprise systems. This position will be Contract and remote
Build and maintain MCP servers in Python using FastMCP and the MCP Streamable HTTP transport
Review, checkout, and adapt community MCP servers for internal use
Deploy MCP servers on AWS Lambda or on VM/EC2 infrastructure
Wrap enterprise APIs and databases into MCP tools with business-friendly descriptions
Orchestrate backend APIs and expose them as tools on MCP servers
Implement authentication and credential handling using OAuth2, API keys, and service principals
Register MCP servers in AgentCore Gateway and support end-to-end testing
Write tests, troubleshoot failures, and document tool behavior clearly
Required:
Senior-level Python development experience
Strong understanding of MCP concepts and server architecture
Hands-on experience with FastMCP
Experience deploying Python services on AWS Lambda and/or VM-based infrastructure
Strong understanding of OAuth2 and OIDC
Ability to work with REST APIs and enterprise data sources
Familiarity with AWS services such as IAM, Secrets Manager, CloudWatch, and S3
Preferred:
AWS cloud experience
Experience with API integrations
Experience with EC2, PM2, Mangum, and Function URLs
Experience integrating with enterprise platforms such as Salesforce, Oracle, Windchill, Planisware, or Databricks
Ability to safely and successfully perform the essential job functions
Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor
Reasonable accommodation statement
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to [email protected] or (888) 824 – 8111.
Skills Required
- Senior-level Python development experience
- Strong understanding of MCP concepts and server architecture
- Hands-on experience with FastMCP
- Experience deploying Python services on AWS Lambda and/or VM-based infrastructure
- Strong understanding of OAuth2 and OIDC
- Ability to work with REST APIs and enterprise data sources
- Familiarity with AWS services such as IAM, Secrets Manager, CloudWatch, and S3
- AWS cloud experience
- Experience with API integrations
- Experience with EC2, PM2, Mangum, and Function URLs
- Experience integrating with enterprise platforms such as Salesforce, Oracle, Windchill, Planisware, or Databricks
CAI (cai.io). Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CAI (cai.io). and has not been reviewed or approved by CAI (cai.io)..
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Retirement Support — Retirement contributions and an ownership component are highlighted as standout perks and positioned as a key strength of the package. This is framed as a notable differentiator within the overall offering.
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Wellbeing & Lifestyle Benefits — A wellness program that can reduce medical premiums, an Employee Assistance Program, and active employee resource groups are emphasized. A work-from-anywhere philosophy and flexible scheduling are also presented as quality-of-life benefits when client needs allow.
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Affordable Benefits — The primary medical setup is described as a high-deductible option with low premiums and an HSA contribution, which some view as cost-effective. Wellness participation is stated to further lower monthly premiums.
CAI (cai.io). Insights
What We Do
CAI is a global services firm with over 8,700 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what’s right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise
