AI Software Engineer

zonecompanysoftwareconsultingllc; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Fully remote environment

Global distributed team

Autonomy & learning culture

Job summary

zonecompanysoftwareconsultingllc is seeking an AI Software Engineer for a fully remote, globally distributed SaaS development team building AI-powered automation for finance teams operating inside cloud ERP systems.

You will design, prototype, and ship production AI/ML systems that streamline financial workflows across quote-to-cash, procure-to-pay, treasury, payroll, and record-to-report, blending deep technical work with cross-functional collaboration.

Qualifications

• 2+ years of software engineering experience focusing on AI/ML applications.
• Bachelor's degree in Computer Science, AI, Data Science, or related field (Master's preferred).
• Hands-on experience with LLMs, agents, and LangGraph, AutoGen, or DSPy.
• Proficiency in Python plus familiarity with JavaScript or another statically typed language.
• Experience deploying AI systems to production and familiarity with AWS or Azure.

Responsibilities

• Design, prototype, and implement AI systems that solve concrete business problems for end users.
• Build and deploy end-to-end AI/ML pipelines powering product features in production.
• Partner with product managers, data scientists, and engineers to deliver integrated AI-driven solutions.
• Write clean, maintainable, well-documented code in Python, JavaScript, or statically typed languages.
• Embed AI/ML models into backend services and frontend applications.
• Monitor and optimize deployed models for performance, scalability, and reliability.
• Evaluate frameworks and tooling, and contribute to infrastructure and cloud-service decisions for AI workloads.

Skills

Python

JavaScript

SQL

LLMs

Education

Bachelor's in CS/AI/DS

Tools

LangGraph

AutoGen

DSPy

AWS

Azure

Docker

Kubernetes

Job description

Role overview

An AI Software Engineer role on a remote SaaS development team building AI-powered automation for finance teams that operate inside cloud ERP systems. The engineer will design, prototype, and ship production AI/ML systems that streamline financial workflows across areas such as quote-to-cash, procure-to-pay, treasury, payroll, and record-to-report. It is a hands‑on engineering position that blends deep technical work with regular collaboration across product, data, and engineering.

Responsibilities

• Design, prototype, and implement AI systems that solve concrete business problems for end users
• Build and deploy end-to-end AI/ML pipelines that power product features in production
• Partner with product managers, data scientists, and engineers to deliver integrated AI-driven solutions
• Write clean, maintainable, well-documented code in Python, JavaScript, or statically typed languages
• Embed AI/ML models into backend services and frontend applications
• Monitor and optimize deployed models for performance, scalability, and reliability
• Evaluate frameworks and tooling, and contribute to infrastructure and cloud-service decisions for AI workloads

Requirements

• 2+ years of software engineering experience with a focus on AI/ML applications
• Bachelor's degree in Computer Science, AI, Data Science, or a related field (Master's preferred)
• Hands‑on experience with LLMs, agents, and frameworks such as LangGraph, AutoGen, or DSPy
• Proficiency in Python plus familiarity with JavaScript or another statically typed language
• Strong understanding of both relational (SQL) and non-relational databasesExperience deploying AI systems to production and familiarity with AWS or Azure

Nice to have

• Containerization experience such as Docker or Kubernetes
• Comfort mentoring junior engineers and leading code reviews
• Background analyzing large datasets to extract actionable insights

Benefits and work setup

• Fully remote, globally distributed team with high autonomy and minimal micro-management
• Flexible, high-trust culture that emphasizes independent decision‑making and continuous learning
• Employer explicitly committed to building a diverse, equitable, and inclusive workplace
• Engagement offered as at‑will employment in the United States and as a fixed‑term or permanent contract in other jurisdictions, subject to local written terms