Senior Software Engineer - AI Agentic
New
I
Inallmedia.comSoftware Development
Argentina / Colombia / Brazil / Peru / Costa Rica; Fully Remote (LATAM), Central Time (CT) / Eastern Time (EST)Full-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 6+ years
- Required Skills
- GitJavaGoPrompt Engineering
Requirements
- 6+ years of hands-on software engineering experience building software products (Senior level).
- Strong hands-on development experience in Java.
- Hands-on experience integrating and applying Large Language Models (LLMs) into software workflows.
- Demonstrated proficiency using AI coding assistants (e.g., Claude Code, Codex, Cursor) and strong prompt engineering skills.
- Background centered on building software products.
- Strong Git experience combined with a demonstrated technical ownership mindset.
- Familiarity with setup, configuration, troubleshooting, hosting, and maintaining Model Context Protocol (MCP) servers.
- Proven track record of authoring AI agent skills or extensions.
- Hands-on experience with emerging AI-assisted software development platforms and agent harnesses.
- Ability to break down complex architectural challenges into modular, composable layers.
- Fluency in English for all interviews, documentation, and daily communication.
Responsibilities
- Develop custom features for Model Context Protocol (MCP) servers, developer environment harnesses, and agent-first development tools using Java (preferred) or Go.
- Leverage advanced AI coding assistants (such as Claude Code, Codex, Cursor) to write, refactor, debug, and accelerate code delivery across internal developer productivity platforms.
- Build read-only MCP integrations to expose internal enterprise communication platforms, document repositories, and operational tools as context sources for AI agents.
- Design, refine, and optimize prompts and context-retrieval architectures to maximize LLM reasoning, code generation accuracy, and output quality.
- Read, inspect, and evaluate code across team repositories to deliver detailed feedback during code reviews and enforce maintainability.
- Diagnose, debug, and resolve complex application bugs, MCP protocol errors, and AI workflow edge cases across development environments.
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