Jr. Full Stack Developer

Role Overview

Join Cutsforth as a Jr. Full Stack Developer to help design, develop, and maintain scalable, data-driven applications for utilities and energy infrastructure. You’ll collaborate with R&D, operations, and client-facing teams to deliver AI-enhanced software that supports how energy is monitored, managed, and optimized.

Responsibilities

• Independently write, test, and deploy clean, maintainable code across front-end and back-end systems
• Design and consume RESTful APIs for real-time data exchange between utility systems and end-user applications
• Integrate AI/ML models into existing and new application workflows
• Troubleshoot and resolve technical issues across the full application stack with minimal supervision
• Participate in sprint planning, stand-ups, and retrospectives in an Agile environment
• Communicate technical decisions and trade-offs to both technical and non-technical stakeholders
• Adapt to evolving requirements and emerging technologies in the energy/utilities space
• Collaborate with R&D and operations to prototype, test, and iterate on new features

Required Qualifications

• Ability to pass a background check for cybersecurity site access
• 2–5 years of professional full-stack development experience delivering production-ready applications
• 1+ year working in or alongside an R&D environment, translating research concepts into working software
• 2+ years hands-on proficiency with: Python, .NET Core, Go, React, and JavaScript
• Demonstrated experience with AI/ML, including LLMs/generative AI or AI-powered analytics
• Strong communication skills and ability to collaborate across technical and non-technical teams
• Ability to manage multiple priorities in a fast-paced Agile environment

Preferred Qualifications

• Experience with predictive monitoring, condition-based monitoring, or real-time alerting platforms (especially utility/energy contexts)
• Master’s degree in Computer Science or related field
• Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, and LangChain
• Experience with SCADA, DERMS, or other utility-specific platforms
• Experience with cloud AI/ML services: AWS SageMaker, Azure ML, Google Vertex AI
• Understanding of data pipelines or time-series data management

Notes / Eligibility

• Remote role, must reside in the United States
• Not accepting remote applicants from California, Illinois, and New York (applications from these states cannot be considered)
• Visa sponsorship is not available