AI Software Engineer (Remote)

AI Software Engineer (Remote)

About the Opportunity

A fast-growing AI technology platform is seeking skilled Software Engineers to help train and improve next-generation autonomous AI systems. This role focuses on developing and evaluating complex multi-step AI agent workflows that operate in realistic production-style environments.

You’ll work on projects involving orchestration, automation, backend systems, and AI-assisted workflows that help large language models function more effectively as proactive, reasoning-based agents.

This is a fully remote opportunity ideal for engineers interested in AI infrastructure, automation systems, distributed workflows, and advanced agentic architectures.

What You’ll Be Doing

* Build and evaluate complex AI-driven software workflows

* Design modular backend systems with clear service separation and scalable architecture

* Create and review programming-related tasks used to improve AI model performance

* Analyze, troubleshoot, and refine AI-generated code and system behaviors

* Provide detailed technical feedback on multi-step agent interactions and reasoning flows

* Work with real-world APIs, tools, and live environments rather than mocked systems

* Support development of persistent and stateful AI workflows

Required Skills & Experience

* 2+ years of experience in:

* Backend engineering

* AI automation

* Systems integration

* Software engineering

* Strong programming ability in at least two of the following:

* Python

* JavaScript

* Go

* Java

* Experience working with SQL databases

* Understanding of modular software architecture and scalable system design

* Experience building or supporting production-grade applications

* Ability to analyze complex technical behaviors and provide high-quality engineering feedback

* Strong problem-solving skills and attention to detail

Preferred Experience

* Building multi-stage orchestration or coordination systems

* Working with AI agents or autonomous workflows

* Integrating tools such as:

* Supabase

* Gmail APIs

* External APIs and automation platforms

* Experience with persistent memory or session management systems

* Familiarity with AI safety concepts including:

* Prompt injection risks

* Permission escalation

* Privacy/security vulnerabilities

* Exposure to LLM tooling, AI infrastructure, or agentic AI systems