In All Media

2077 Sr Software Engineer - AI Agentic

In All Media  β€’  Costa Rica, BR / Colombia, CO (Remote)  β€’  16 days ago
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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.

πŸš€ 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.

πŸ” 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.

πŸ’‘ 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.

πŸ’¬ Language

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

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In All Media

About In All Media

In All Media is a trailblazing Nearshore Managed Service Provider, laser-focused on Team Augmentation for software development. We craft bespoke, highly specialized teams that effortlessly merge with our client's processes and culture, delivering unparalleled results.

Our Austin headquarters anchors our global reach, with a diverse talent pool distributed across the Americas, Europe, and Asia. This allows us to execute our Nearshore model efficiently in all three regions. Since our inception, we have employed an agile, remote, and distributed model, allowing us to tap into the world's finest technical talent, regardless of location, adapting methodologies like SAFe to perfectly align with our client's needs. We source our exceptional talent from Coderfull, our exclusive community boasting over 5,000 rigorously vetted engineers. Our teams are formed and trained within this community, with specialized interest groups focusing on cutting-edge technologies making In All Media a true Community Lead Enterprise. Our Community teams have a proven track record of collaboration, in-depth knowledge of each other's strengths, and exceptional team dynamics. This synergy results in rapid onboarding, heightened productivity, and an unwavering commitment to success. Our teams embrace flexibility and benefit from a thriving community spirit, abundant career growth opportunities, and a stable compensation model. Our proprietary Community Management platform streamlines talent management, empowering them to efficiently handle daily work, career development, and administrative tasks. AI has captivated our community with its potential to revolutionize our industry so we are harnessing AI to augment, not replace, human skills investing heavily in AI tools, training, and partnerships, to increase our team’s productivity and guide our clients toward a future-ready AI adoption strategy. Experience the In All Media difference today.

Industry
Unknown
Company Size
51-200 employees
Headquarters
Austin, Texas
Year Founded
2015
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