Senior Developer - Full Stack
Role Overview
Senior full-stack engineering role building cloud-native applications that integrate AI capabilities into industrial use cases.
Work across frontend and backend with AI engineers, data scientists, and domain experts to deliver production-ready solutions.
AI-assisted development tools are encouraged; engineers remain responsible for understanding and validating shipped work.
Key Skills for This Role
Full Job Posting
About AIQ
AIQ develops and deploys industrial AI technologies at scale, focused on the energy sector.
The role contributes to industrial transformation projects and applications for oil and gas operations.
Role overview
Senior full-stack engineering role building cloud-native applications that integrate AI capabilities into industrial use cases.
Work across frontend and backend with AI engineers, data scientists, and domain experts to deliver production-ready solutions.
AI-assisted development tools are encouraged; engineers remain responsible for understanding and validating shipped work.
Responsibilities
- Build scalable full-stack applications and responsive frontend systems for AI-driven oil and gas operations.
- Develop backend services and APIs using microservices and event-driven patterns; work with structured and unstructured data.
- Build cloud-native, containerized applications and integrate AI/ML services into production.
- Ensure system performance, scalability, security, and reliability; contribute to architecture and engineering practices.
- Use and validate AI coding assistants; participate in CI/CD, DevOps, and delivery-pipeline improvements.
- Integrate with industrial data sources such as IoT, SCADA, and enterprise platforms; collaborate across technical and domain teams.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
- 5–8 years of full-stack development experience; backend with Python/FastAPI or Node.js and frontend with React, Angular, or similar plus TypeScript.
- Knowledge of microservices, REST APIs, distributed systems, relational and NoSQL databases, and event-driven messaging.
- Hands-on AWS, Azure, or GCP, Docker, Kubernetes, CI/CD, Git workflows, and DevOps experience.
- Experience integrating AI/ML services or data-driven APIs; production use of AI-assisted development tools with strong code ownership.
- Strong problem-solving and independent work in agile environments; mentoring or technical leadership is a plus.
- Oil and gas, energy, or industrial digitalization experience is a strong advantage.
What AIQ offers
- The company describes an initiative-driven, fast-paced environment and opportunities to contribute to transformational projects.
- Rewards include healthcare, dependent education support, leave benefits, and other compensation package elements.
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