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Coderio

AI, MCP Developer – Python

Coderio

. Build, test, and deploy MCPs connecting to critical data sources including Snowflake and SharePoint .

Posted 10/26/2026contractRemote • Argentina, Colombia, Peru, Uruguay, BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong hands-on proficiency in Python and solid coding fundamentals, with proven experience in building AI-driven solutions and integrating various data sources. Capable of driving development tasks from concept to deployment while adhering to architectural and security standards.

Highest-signal resume keywords
Python ProficiencyAI-Driven Solutions DevelopmentPrompt EngineeringInfrastructure as Code (Terraform)MCP Framework Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonPrompt EngineeringMCP DevelopmentSQL/ORMData IntegrationCloud Sub-Agents ManagementAI Assistant Coding ToolsPerformance EvaluationRefactoring CodeArchitectural Standards Adherence
Soft Skills
Excellent Communication SkillsHigh Level of Autonomy
Tools & Technologies
SnowflakeSharePointAWSTerraformClaude CodeFAST MCP FrameworkAgent Core Framework
Industry Keywords
Financial ServicesHedge FundsInvestment Sectors

Tech Stack

Tools & technologies
AWSCloudPythonSnowflakeSQLTerraform

About the role

Key responsibilities & impact
  • Build, test, and deploy MCPs connecting to critical data sources including Snowflake and SharePoint
  • Connect databases, APIs, and other systems to expose data via MCPs
  • Enable advanced Copilot workflows and collaborative AI workspaces
  • Refactor proof-of-concept code into robust production infrastructure
  • Adhere to architectural and security standards
  • Design, test, and optimize prompts for VMCPs, AI skills, and plugins
  • Identify and resolve MCP bugs
  • Systematically evaluate MCP performance against prompts
  • Collaborate with data engineering and platform teams on data pipelines and integrations
  • Own development tasks from initial concept through deployment
  • Integrate AI capabilities into established, high-security infrastructure

Requirements

What you’ll need
  • Strong hands-on proficiency in Python and solid coding fundamentals
  • Proven experience building AI-driven solutions and working with MCPs
  • Familiarity with the FAST MCP framework
  • Solid experience in prompt engineering
  • Familiarity with AI assistant coding tools like Claude Code, including running cloud sub-agents and managing skills/plugins
  • Good general knowledge of AWS
  • Experience integrating unstructured and structured data sources, including databases, APIs, SQL/ORMs, SharePoint, and files
  • Advanced or bilingual English level (C1 or above)
  • High level of autonomy and ability to drive work from concept to completion without constant supervision
  • Excellent communication skills to articulate progress and technical blockers
  • Familiarity with Infrastructure as Code tools, particularly Terraform
  • Familiarity with Agent Core or similar frameworks for agent-side development
  • Prior experience in financial services, hedge funds, or investment sectors

Benefits

Comp & perks
  • 100% remote collaboration in a dynamic, fast-paced environment
  • Long-term contract engagement
  • High ownership of code and real solutions
  • Work at the forefront of the generative AI landscape
  • Collaborative international team with strong technical leadership
  • Inclusive, challenging environment
  • Real growth opportunities
  • Fair compensation