#132811 - Software Engineer

Upwork; Bogotá; Presencial; COP 279.520.000 - 372.694.000; Jornada completa

Descripción de la vacante

Upwork seeks a hands-on Software Engineer to build MCP-based services enabling AI agents to access and reason over context from enterprise systems. This is a day-to-day production software development role focused on Model Context Protocol services and enterprise product engineering.

Based in LATAM with full-time commitment, you will own development from coding through production, collaborate across teams, and contribute to robust MCP hosting and integration across enterprise sources.

Formación

• 5+ years of software development experience in mid-level roles.
• Hands-on AI and agentic development experience.
• Strong understanding of AI principles and underlying technologies.
• Proficient in Java or Go, with Java preferred.
• Experience using Git in a software engineering workflow.
• Strong problem-solving and technical ownership.
• Proven experience delivering a software product end to end.
• Current hands-on ability to write, read, and understand production code.
• Enterprise software development experience preferred.

Responsabilidades

• Build and operate MCP-based services to broaden context for AI agents.
• Deliver a reliable solution for hosting and managing MCP services.
• Develop a read-only MCP service exposing context from enterprise systems.
• Integrate AI-agent context access across multiple enterprise sources.
• Read and understand production code.
• Provide feedback during code reviews.
• Take ownership from development through production.

Conocimientos

Software development

AI and agentic development

AI principles

Java or Go

Git usage

Problem-solving

End-to-end product development

Production code

Enterprise experience

Herramientas

Java

Go

Git

Model Context Protocol

Descripción del empleo

We are seeking a hands-on Software Engineer to build and operate product services that help AI agents access and reason over context from enterprise systems. This is a day-to-day software development role centered on Model Context Protocol services and production product engineering. It is not focused on ETL pipelines, systems configuration or management, or standalone script development.

Job Description

Key Responsibilities

• Build and operate MCP-based services that broaden the context available to AI agents.
• Deliver a reliable solution for hosting and managing MCP services.
• Build a read-only MCP service that exposes approved context from enterprise collaboration, productivity, and developer systems.
• Integrate AI-agent context access across multiple enterprise systems and information sources.
• Read and understand production code thoroughly.
• Provide substantive feedback to teammates during code reviews.
• Take direct ownership of implementation, troubleshooting, and delivery from development through production.

Qualifications

Must-Have Skills

• 5+ years of software development experience at the mid-level.
• Hands-on AI and agentic development experience.
• Strong understanding of AI principles and their underlying technologies.
• Hands-on development experience in Java or Go, with Java preferred.
• Experience using Git in a software engineering workflow.
• Strong problem-solving skills and a strong sense of technical ownership.
• Proven experience developing a software product end to end.
• Current hands-on ability to write, read, and understand production code.
• Enterprise experience strongly preferred.

Nice-to-Have Skills

• Familiarity with Model Context Protocol setup and configuration.
• Understanding of common MCP troubleshooting scenarios.
• Experience owning and maintaining an MCP server.
• Experience building agent skills that achieved broad adoption and accelerated users or teams.
• Strong systems thinking and the ability to break problems into clear, composable abstraction layers.

Required Tools & Platforms

• Java or Go.
• Git.
• AI and agentic development technologies.
• Model Context Protocol familiarity is preferred.

Location, Time & Engagement

• Candidates must be based in LATAM.
• Full working coverage of US Central Time is required.
• This is a full-time contract engagement at 40 hours per week.
• The anticipated engagement runs through March 31, 2027.
• This is not currently a contract-to-hire opportunity.