JUNIOR SOFTWARE ENGINEER in NEW HYDE PARK, New York at Day & Nite Air Conditioning Service Corp

Location: New Hyde Park, NY

Department: Information Systems and Services

We are building internal systems that power a multi-state field service operation across HVAC, refrigeration, and commercial kitchen equipment. This role focuses on backend development, cloud infrastructure, and maintaining the systems that support day-to-day operations.

You will work across APIs, databases, ERP integrations, and AWS infrastructure to build and support tools that automate workflows, reduce manual effort, and improve operational efficiency. This includes both developing in-house tools, services, and infrastructure, as well as working with licensed software platforms (e.g., ERP, FSM, third-party systems) to extend, integrate, and build on top of them. The work will also involve practical AI and early-stage agentic systems that automate tasks and interact across internal tools.

This is a systems-focused role, not isolated feature work.

This position follows an 80/20 split between software engineering and IT/systems support, providing exposure to both development and real-world system operations.

Build and maintain internal tools, backend services, and automation workflows

Develop backend systems using:

Python (FastAPI)

JavaScript / TypeScript (Node.js)

PHP (as needed across existing systems)

Build and support frontend applications using:

React Native

React or Angular

Design, develop, and manage APIs using frameworks like FastAPI, Strapi, and custom service layers

Integrate and extend licensed platforms (e.g., NetSuite, FSM, and third-party systems), including customization using SuiteScript

Work with SQL Server and relational databases to support application logic and reporting

Deploy, manage, and troubleshoot applications in AWS environments

Operate within Linux-based environments for hosting, scripting, and system tasks

Debug and resolve issues across backend services, infrastructure, and data layers

Troubleshoot production issues and support internal users when systems break

Assist with system monitoring, logging, and reliability improvements

Contribute to automation initiatives, including:

Workflow automation and process optimization

Practical AI/LLM use cases and early-stage agentic systems that interact across internal tools and APIs

AI & Automation (Core Responsibility)

Build AI-powered workflows used in production (not prototypes), such as:

Document/invoice processing pipelines

Data extraction and structured output systems

Agent development and management

Work with LLMs (e.g., GPT-based systems):

Prompt engineering for reliable outputs

Integrating AI into end-to-end workflows

Implementing retrieval-based systems (RAG) where accuracy matters

Turn AI concepts into operational systems that improve speed, accuracy, and cost efficiency

Focus on measurable outcomes (e.g., reducing processing time, eliminating manual steps), similar to real-world systems that significantly reduce turnaround time and improve accuracy

IT / Systems Support (approx. 20%)

Troubleshoot production issues and support internal users when systems break

Assist with user access, system configuration, and basic administration across platforms

Monitor system health, logs, and integrations to identify and resolve issues

Support day-to-day operational systems (ERP, mobile apps, internal tools)

Work with internal teams and vendors to resolve technical issues

Bachelor’s degree in Computer Science or a related field (or equivalent practical experience)

Experience with Python and/or JavaScript/TypeScript

Experience building or working with APIs (REST)

Working knowledge of SQL and relational databases

Familiarity with cloud environments (AWS or similar)

Understanding of authentication concepts (OAuth, JWT, or similar)

Experience debugging issues across multiple layers (API, database, or infrastructure)

Comfortable working with and integrating third-party systems and APIs

Ability to take a problem and build a working solution end-to-end (with guidance)

Willingness to work across both development and IT/systems support tasks

Self-motivated and able to learn quickly in a hands-on environment

Exposure to AI/LLM-based features, automation tools, AI Agents

Familiarity with Linux environments or basic server management

Experience working in production environments, supporting real users and business-critical systems

Exposure to system integrations across APIs, databases, and third-party platforms

Experience with automation tools or scripting (e.g., Power Automate or similar)

Familiarity with cloud infrastructure concepts (AWS or similar)

Experience working with data pipelines, reporting systems, or data modeling

Exposure to containerization or deployment tools (e.g., Docker or similar)

Experience customizing or extending ERP or business systems (e.g., NetSuite or similar platforms)

Interest or exposure to AI/LLM applications in real-world workflows (not required to be advanced)

Comfortable working across multiple parts of a system (backend, data, infrastructure, support)

You think in systems, not just code

You are comfortable figuring things out without step-by-step instructions

You can trace issues across multiple components

You prioritize practical impact over theoretical solutions