Description: Key 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
Required Qualifications:
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
Preferred Qualifications:
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
Other Qualifications:
Successfully pass background check for cybersecurity access requirements.
Cybersecurity Role Expectations:
Candidate will be responsible for reviewing policies and procedures related to cybersecurity and those relevant to the functions of their role.
Candidate is expected to maintain a cybersecure work environment.
Job type: Full‑time
Work mode: remote
To apply for this job please visit careers.cutsforth.com.
