Senior Full-Stack AI Engineer (React/Python | Azure)

First Solar

Perrysburg (OH)

On-site

USD 151,000 - 215,000

Full time

14 days+
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Job summary

First Solar is seeking a Senior Full Stack AI Engineer to design, develop, and maintain AI-powered web applications for internal business units. You will work with React/TypeScript frontends and Python/FastAPI backends on Azure, architect scalable cloud-native solutions, and integrate LLMs and ML models.

You will lead data pipelines, CI/CD, and infrastructure as code, collaborating with data scientists and cross-functional teams.

Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or related field.
  • Master’s preferred in related discipline.
  • Minimum 5 years of full stack development experience.

Responsibilities

  • Design, develop, test, and maintain full stack web applications (React/TypeScript frontend, Python/FastAPI backend).
  • Architect scalable, cloud-native solutions on Azure.
  • Lead integration of LLMs/AI models into production apps.
  • Build and maintain ETL/ELT pipelines and data ingestion.
  • Create CI/CD pipelines and IaC with Terraform.
  • Mentor team members and establish engineering standards.

Skills

React with TypeScript
Python (FastAPI)
Azure cloud services
Docker & Kubernetes
CI/CD pipelines
SQL & ORM (SQLAlchemy)
Data engineering & ETL/ELT
LLMs integration
Security & RBAC/OIDC
Testing (Pytest/Jest)
Monitoring & Observability

Education

Bachelor’s degree in CS/SE/IT
Master’s degree preferred in CS/SE/Data Eng

Tools

Azure DevOps
Terraform
Azure Container Apps
Kafka/Service Bus (Azure)

Job description

First Solar is seeking a Senior Full Stack AI Engineer to design, develop, and maintain AI-powered web applications for internal business units. You will work with React/TypeScript frontends and Python/FastAPI backends on Azure, architect scalable cloud-native solutions, and integrate LLMs and ML models.

You will lead data pipelines, CI/CD, and infrastructure as code, collaborating with data scientists and cross-functional teams.

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