[Remote] Jr. Full Stack Developer
Note: The job is a remote job and is open to candidates in USA. Cutsforth is seeking a motivated and technically sharp Jr. Full Stack Developer to join their growing engineering team in the utilities and energy sector. The role involves contributing to the design, development, and maintenance of scalable, data-driven applications that power critical infrastructure solutions, while collaborating closely with cross-functional teams to deliver AI-enhanced software.
Responsibilities
- Independently write, test, and deploy clean, maintainable code across both front-end and back-end systems
- Design and consume RESTful APIs that support real-time data exchange between utility systems and end-user applications
- Integrate AI and machine learning models into existing and new application workflows
- Troubleshoot and resolve technical issues across the full application stack with minimal supervision
- Participate actively in sprint planning, stand-ups, and retrospectives as part of an agile development team
- Communicate technical decisions and trade-offs clearly to both technical peers and non-technical stakeholders
- Adapt quickly to evolving project requirements and emerging technologies in the energy/utilities space
- Collaborate with R&D and operations teams to prototype, test, and iterate on new features
Skills
- Successfully pass background check for cybersecurity site access
- 2–5 years of professional Full Stack Development experience with a proven track record of delivering production-ready applications
- 1+ years of experience in or alongside an R&D environment, with the ability to translate research concepts into functional software
- 2+ years of hands-on proficiency in Python, .Net Core, Go, React, and XJS
- Demonstrated experience with AI/ML technologies, including model development, LLMs/generative AI, or AI-powered analytics
- Strong communication skills and the ability to collaborate effectively across technical and non-technical teams
- Ability to manage multiple priorities in a fast-paced, agile environment
- Experience with predictive monitoring systems, condition-based monitoring, or real-time alerting platforms — particularly in utility or energy contexts
- Master's degree in Computer Science or a related technical field
- Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or similar
- Experience with SCADA systems, DERMS, or other utility-specific platforms
- Experience with cloud-based AI/ML services (AWS SageMaker, Azure ML, Google Vertex AI)
- Understanding of data pipelines or time-series data management
Benefits
- Medical, Vision, Dental Insurance
- Health Savings Account with Employer contributions
- 401(k) with Employer match
- Short-term & Long-term Disability Coverage
- Accidental Death & Dismemberment Coverage
- Life Insurance Coverage
- 80 hours of paid PTO
- Eight paid holidays per year
- All other benefits required by applicable law
Company Overview