Senior Software Engineer – AI Agentic

This is a fully remote position, open to applicants in Argentina, +4 more countries.

📋 Description

• Create tailored features for Model Context Protocol (MCP) servers, developer environment tools, and agent-first development utilities using Java or Go.

• Utilize AI coding assistants such as Claude Code, Codex, and Cursor to write, enhance, debug, and accelerate code delivery within internal developer productivity frameworks.

• Construct read-only MCP integrations that expose internal enterprise communication platforms, document stores, and operational tools as context sources for AI agents.

• Design, refine, and enhance prompts and context-retrieval architectures to boost LLM reasoning, code-generation precision, and output quality.

• Review, inspect, and assess code within team repositories; provide comprehensive code-review feedback and ensure maintainability.

• Identify, debug, and resolve intricate application bugs, MCP protocol issues, and AI workflow edge cases across development environments.

• Contribute to a long-term infrastructure project aimed at hosting and managing MCP servers.

• Develop a cohesive read-only MCP framework to broaden the contextual data sources accessible to AI coding assistants and autonomous agents.

• Collaborate with distributed teams operating in Central Time and Eastern Time zones.

⛳️ Requirements

• Over 6 years of practical software engineering experience in developing software products.

• Strong hands-on development expertise in Java.

• Practical experience in integrating and utilizing Large Language Models (LLMs) within software workflows.

• Proven proficiency in using AI coding assistants like Claude Code, Codex, or Cursor.

• Exceptional skills in prompt engineering.

• A background dedicated to building software products; experience in pure ETL/data pipeline, systems administration, or basic scripting is not applicable.

• Robust experience with Git.

• Demonstrated mindset of technical ownership and structured problem-solving abilities.

• Familiarity with the setup, configuration, troubleshooting, hosting, and maintenance of Model Context Protocol (MCP) servers.

• A successful history of developing AI agent skills or extensions that gained widespread adoption and enhanced developer productivity.

• Practical experience with emerging AI-assisted software development platforms and agent harnesses.

• Capability to deconstruct complex architectural challenges into modular, composable layers and clear abstractions.

• Willingness to align with Central Time (CT) and Eastern Time (EST) / North America business hours.

• All interviews, documentation, and daily communication will be conducted in English.

🏝️ Benefits

• Fully remote work arrangement.

• Full-time, permanent employment.

• Flexibility to align with North America business hours.