2077 Sr Software Engineer - AI Agentic
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