We are Generac, a leading energy technology company committed to powering a smarter world.

Over the 60 plus years of Generac’s history, we’ve been dedicated to energy innovation. From creating the home standby generator market category, to our current evolution into an energy technology solutions company, we continue to push new boundaries.

Major Responsibilities

Frontend Development & UI/UX Experience · Interactive UIs: Design and implement responsive, high-performance web interfaces using React, TypeScript, and modern UI frameworks. · Complex Data Visualization: Build interactive dashboards and workflow views using tools like React Flow to simplify complex engineering, manufacturing, and operational data. · AI Feature Interfaces: Create clear, intuitive user interfaces that present AI-generated outputs, streaming responses, and automated recommendations seamlessly to end-users. Backend Development & API Architecture · Scalable Microservices: Architect, build, and maintain robust backend microservices using Python and FastAPI. · API Design: Design and deploy clean RESTful APIs, asynchronous event-driven workflows, and data orchestration pipelines. · Data Layer Management: Work with both relational and NoSQL databases (e.g., PostgreSQL, Cosmos DB, AlloyDB) to ensure application performance and data integrity. AI Application Integration · Enterprise AI Services: Connect frontend and backend layers to enterprise AI platforms, orchestrating services from Azure OpenAI Service, Azure AI Foundry, GCP Vertex AI, Gemini Models, and Document AI. · Real-Time AI Workflows: Implement streaming, asynchronous, and event-driven interaction patterns for real-time model outputs and autonomous agent workflows. Cloud Platform Engineering & DevOps · Cloud Deployments: Deploy and maintain containerized applications across cloud infrastructure: o Microsoft Azure: Azure App Services, Container Apps, AKS (Kubernetes), Functions, Cosmos DB, Databricks. o Google Cloud (GCP): Cloud Run, GKE, Vertex AI, BigQuery, AlloyDB. · CI/CD & Observability: Build and optimize continuous integration/deployment (CI/CD) pipelines, leverage Infrastructure-as-Code (IaC), and implement comprehensive logging, monitoring, and alerting. Product Lifecycle & Iteration · Rapid Prototyping: Partner with stakeholders to rapidly prototype, test, and iterate on innovative software concepts before enterprise-wide rollout. · User Feedback Loops: Build embedded analytics and telemetry tools to track product usage and inform feature prioritization.

Minimum Job Requirements

Education: · Bachelor’s degree in computer science, Software Engineering, Information Technology, or a related technical discipline

Experience: · 3 years of professional full-stack software engineering experience building and deploying production-ready web applications.

• · Proven experience delivering complex web features end-to-end—from database design and backend API development through to frontend client delivery. Knowledge and Skills:
• · Core Tech Stack: o Strong proficiency in Python and modern backend frameworks (FastAPI or similar). o Strong proficiency in React and TypeScript / JavaScript. o Hands-on experience with relational and/or NoSQL cloud databases.
• o Practical experience deploying applications on Microsoft Azure or Google Cloud Platform (GCP).
• o Experience designing RESTful APIs and asynchronous integration patterns. o Solid grounding in software best practices (Git, CI/CD, automated testing, containerization).
• · AI Integration: Hands-on experience consuming and presenting AI/ML model outputs or Generative AI APIs within client-facing software applications.
• · Frontend: React, React Flow, TypeScript, JavaScript, HTML5/CSS, Modern UI Component Frameworks · Backend: Python, FastAPI, Async/Event-Driven Frameworks, RESTful APIs, Microservices
• · Databases: PostgreSQL, Cosmos DB, AlloyDB, Cloud SQL, MongoDB, Google-BigQuery
• · Cloud & Infrastructure: Microsoft Azure (App Services, Container Apps, AKS), GCP (Cloud Run, GKE), Docker, CI/CD, IaC (Terraform/Bicep) · AI Integrations: Azure OpenAI, Vertex AI, Gemini, Document AI, LLM API Orchestration

Preferred Job Requirements

· Experience in manufacturing, industrial tech, engineering, energy solutions, or field-service environments.

· Background in visualizing engineering data, CAD systems, Bill of Materials (BOM) structures, or technical documentation.

· Exposure to Agentic AI frameworks (e.g., LangGraph, LangChain, CrewAI, AutoGen, Model Context Protocol - MCP).

· Experience with Infrastructure as Code (IaC) tools such as Terraform, Bicep, or Pulumi.

· Hands-on experience with container orchestration using Kubernetes (AKS / GKE).

Physical Requirements and Working Conditions

While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders. The employee must occasionally lift up to 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.