Remote AI & Automation Solutions Engineer (Enterprise)
Linea Energy
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Job summary
Linea Energy in San Francisco, CA is seeking an Enterprise Technology Solutions Engineer to design, build, and deploy AI-driven automations across development, legal, finance, GIS, and execution teams. This full-time role sits at the intersection of enterprise architecture, software development, and business operations, emphasizing agentic workflows, LLM-powered automation, and rapid AI-assisted delivery.
The ideal candidate brings 5+ years of engineering experience, proficiency with Azure, and
Qualifications
- 5+ years in software engineering or automation roles.
- Experience building AI-powered automations with LLM APIs.
- Experience with AI-assisted development tools.
- Proficiency with Git and modern version control.
- Experience with Azure cloud services.
- Excellent communication skills.
- Bachelor's degree in CS/Engineering or related field.
- Experience with low-code/workflow platforms is a plus.
Responsibilities
- Own enterprise software architecture and solutions.
- Design and operate AI-powered automations and agentic workflows.
- Collaborate with stakeholders to identify automation opportunities.
- Build and maintain integrations using APIs and connectors.
- Develop GIS-enabled applications and spatial data pipelines.
- Ensure code quality and version control practices.
- Define AI governance, data protection, and security practices.
- Deploy and manage Azure-based applications and services.
- Support IT operations and security for the environment.
- Document systems and coordinate with vendors.
Skills
Education
Tools
Job description
Linea Energy in San Francisco, CA is seeking an Enterprise Technology Solutions Engineer to design, build, and deploy AI-driven automations across development, legal, finance, GIS, and execution teams. This full-time role sits at the intersection of enterprise architecture, software development, and business operations, emphasizing agentic workflows, LLM-powered automation, and rapid AI-assisted delivery.
The ideal candidate brings 5+ years of engineering experience, proficiency with Azure, and
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