Job description

Position: Senior Software Engineer (Applied AI & Developer Platform) Location: Fully Remote (LATAM) Contract Type: Full-time, Permanent Time Zone Alignment: Central Time (CT) / Eastern Time (EST) 🧭 About Inallmedia.com Inallmedia.com is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams across LATAM. We partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation. 🚀 Project Overview You will join the Developer Platform team on the Context workstream, which is dedicated to building a cutting-edge, agent-first development environment. The team's mission is to provide AI agents with secure, real-time access to context across internal document stores, messaging platforms, and operational portals. Your immediate priority will center on a long-term infrastructure initiative for hosting and managing Model Context Protocol (MCP) servers, followed by developing a unified read-only MCP framework to expand the contextual data sources available to AI coding assistants and autonomous agents. 🔍 Key Responsibilities • Agentic Ecosystem & MCP Feature Development: Develop custom features for Model Context Protocol (MCP) servers, developer environment harnesses, and agent-first development tools using Java (preferred) or Go. • AI-Assisted Software Engineering: Leverage advanced AI coding assistants (such as Claude Code, Codex, Cursor) to write, refactor, debug, and accelerate code delivery across internal developer productivity platforms. • Context Integration & Source Exposure: Build read-only MCP integrations to expose internal enterprise communication platforms, document repositories, and operational tools as context sources for AI agents. • Prompt Engineering & Context Management: Design, refine, and optimize prompts and context-retrieval architectures to maximize LLM reasoning, code generation accuracy, and output quality. • Code Review & Software Quality: Read, inspect, and evaluate code across team repositories to deliver detailed feedback during code reviews and enforce maintainability. • System Troubleshooting: Diagnose, debug, and resolve complex application bugs, MCP protocol errors, and AI workflow edge cases across development environments. 💡 Must-Have Skills • Experience Level: 6+ years of hands-on software engineering experience building software products (Senior level). • Core Programming Proficiency: Strong hands-on development experience in Java. • Applied AI & LLM Systems: Hands-on experience integrating and applying Large Language Models (LLMs) into software workflows (focused on applied usage rather than model training). • AI Coding Tools & Prompt Engineering: Demonstrated proficiency using AI coding assistants (e.g., Claude Code, Codex, Cursor) alongside strong prompt engineering skills to optimize code generation. • Product Focus: Background centered on building software products (Note: pure ETL/data pipeline, systems administration, or basic scripting backgrounds are not aligned). • Version Control & Ownership: Strong Git experience combined with a demonstrated technical ownership mindset and structured problem-solving skills. • MCP Infrastructure: Familiarity with setup, configuration, troubleshooting, hosting, and maintaining Model Context Protocol (MCP) servers. • Agent Skill Authoring: Proven track record of authoring AI agent skills or extensions that achieved broad adoption and developer acceleration. • Advanced AI Tooling: Hands-on experience with emerging AI-assisted software development platforms and agent harnesses. • Systems Thinking: Ability to break down complex architectural challenges into modular, composable layers and clear abstractions. 🌐 Time Zone & Collaboration The role requires collaboration with teams aligned to Central Time (CT) and Eastern Time (EST). Flexibility to overlap with North America business hours is required in this remote-first setup. 💬 Language All interviews, documentation, and daily communication will be in English. #LI

Requirements

Must-haves

Position: Senior Software Engineer (Applied AI & Developer Platform)
Location: Fully Remote (LATAM)
Contract Type: Full-time, Permanent
Time Zone Alignment: Central Time (CT) / Eastern Time (EST)
AI-Assisted Software Engineering: Leverage advanced AI coding assistants (such as Claude Code, Codex, Cursor) to write, refactor, debug, and accelerate code delivery across internal developer productivity platforms.
Context Integration & Source Exposure: Build read-only MCP integrations to expose internal enterprise communication platforms, document repositories, and operational tools as context sources for AI agents.
Prompt Engineering & Context Management: Design, refine, and optimize prompts and context-retrieval architectures to maximize LLM reasoning, code generation accuracy, and output quality.
Code Review & Software Quality: Read, inspect, and evaluate code across team repositories to deliver detailed feedback during code reviews and enforce maintainability.
System Troubleshooting: Diagnose, debug, and resolve complex application bugs, MCP protocol errors, and AI workflow edge cases across development environments.
Must-Have Skills
Experience Level: 6+ years of hands-on software engineering experience building software products (Senior level).
Core Programming Proficiency: Strong hands-on development experience in Java.
Applied AI & LLM Systems: Hands-on experience integrating and applying Large Language Models (LLMs) into software workflows (focused on applied usage rather than model training).
AI Coding Tools & Prompt Engineering: Demonstrated proficiency using AI coding assistants (e.g., Claude Code, Codex, Cursor) alongside strong prompt engineering skills to optimize code generation.
Product Focus: Background centered on building software products (Note: pure ETL/data pipeline, systems administration, or basic scripting backgrounds are not aligned).
Version Control & Ownership: Strong Git experience combined with a demonstrated technical ownership mindset and structured problem-solving skills.
MCP Infrastructure: Familiarity with setup, configuration, troubleshooting, hosting, and maintaining Model Context Protocol (MCP) servers.
Agent Skill Authoring: Proven track record of authoring AI agent skills or extensions that achieved broad adoption and developer acceleration.
Advanced AI Tooling: Hands-on experience with emerging AI-assisted software development platforms and agent harnesses.
Systems Thinking: Ability to break down complex architectural challenges into modular, composable layers and clear abstractions.
Time Zone & Collaboration
The role requires collaboration with teams aligned to Central Time (CT) and Eastern Time (EST). Flexibility to overlap with North America business hours is required in this remote-first setup.
All interviews, documentation, and daily communication will be in English.

Nice-to-haves

Agentic Ecosystem & MCP Feature Development: Develop custom features for Model Context Protocol (MCP) servers, developer environment harnesses, and agent-first development tools using Java (preferred) or Go.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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