Full-Stack Software Engineer – AI Applications

Schedule: TBD – 8 hours/day, 40 hours/week

Role Overview

We are seeking a highly skilled and dependable Full-Stack Software Engineer to provide ongoing backend support, maintenance, and development for a suite of proprietary AI-powered applications.

This is a staff-augmentation role for a self-directed engineer who can work closely with company leadership, troubleshoot production issues, stabilize existing applications, and ensure reliable day-to-day operation of AI systems.

The ideal candidate is not only technically strong but also proactive, responsive, and highly accountable. We are looking for one dedicated engineer who can take ownership of assigned tasks, communicate progress consistently, and deliver reliable results with minimal supervision.

Core Responsibilities

Bug Fixes & Stabilization

• Triage, troubleshoot, debug, and resolve software issues based on assigned task and bug lists.
• Identify root causes and implement reliable fixes to prevent recurring issues.
• Test fixes thoroughly to minimize regressions and maintain application stability.

Production Hardening

• Review features and improvements developed in staging environments.
• Identify and resolve issues before features are released to production.
• Ensure applications meet reliability and performance expectations before deployment.

Release & Deployment Support

• Promote tested and approved features to production.
• Use feature branches, feature flags, and other safe release practices to isolate unfinished or high-risk work.
• Support deployment processes and troubleshoot issues that arise during releases.

Backend & Application Maintenance

• Maintain and improve the backend infrastructure supporting existing AI applications.
• Support internal AI-powered tools, including systems for AI agent orchestration, agent management, model selection, workload configuration, and backlog management.
• Monitor application functionality and address issues that may impact reliability or performance.
• Make practical improvements to existing systems without unnecessarily expanding project scope.

Required Skills & Experience

• Strong full-stack software engineering background, with solid experience in both frontend and backend development.
• Hands-on experience developing, maintaining, or integrating AI/ML systems and LLM-based applications.
• Experience with AI agents, agent orchestration, or multi-agent systems using tools such as Claude, Codex, Grok, or comparable technologies.
• Strong experience maintaining and debugging production applications and backend systems.
• Experience with Git, feature branching, feature flags, and safe release/deployment practices.
• Strong troubleshooting, debugging, and problem-solving abilities.
• Excellent English communication skills, both written and verbal.
• Comfortable working directly with technical leadership and communicating technical issues clearly.
• Able to work independently with minimal supervision while maintaining consistent productivity and accountability.

What We Value Most

We prioritize quality, reliability, communication, and accountability.

The ideal engineer is someone who:

• Takes ownership of assigned tasks from start to completion.
• Communicates progress, blockers, and completed work consistently.
• Is proactive rather than waiting for instructions at every step.
• Remains visible and responsive throughout the workday.
• Can independently troubleshoot problems and determine appropriate solutions.
• Understands the importance of maintaining stable production systems.
• Delivers consistent, measurable output rather than simply starting tasks without completing them.

Ideal Candidate

The ideal candidate is a self-directed full-stack engineer with strong AI/LLM experience who can confidently maintain production systems while continuing to improve them.

They should be comfortable working in a fast-moving environment, communicating directly with technical leadership, and taking ownership of backend maintenance, debugging, releases, and AI application support.

Consistency and communication are just as important as technical ability. We are looking for someone dependable who can become a long-term technical partner and contribute to the continued growth and stability of the company's AI applications.