Full Stack Engineer - AI
Job in
Township of Perrysburg, Wood County, Ohio, USA
Listed on 2026-10-14
Listing for:
First Solar, Inc.
Full Time
position Listed on 2026-10-14
Job specializations:
-
Software Development
Cloud Engineer - Software, AI Engineer (Applied/Software), Azure, DevOps
Job Description & How to Apply Below
Location: Township of Perrysburg
First Solar reserves the right to offer you a role most applicable to your experience and skillset.
BasicJob Functions:
- Design, develop, and maintain full stack AI-powered web applications that support the organization's digital transformation and product engineering initiatives.
- Build and deploy production-grade applications using React/Type Script frontends and Python/FastAPI backends on Azure cloud infrastructure.
- Architect scalable, containerized solutions and establish reusable design patterns across multiple AI product work streams spanning analytics, reliability engineering, technical sales, and field operations.
- Collaborate with data scientists and cross-functional stakeholders to integrate large language models (LLMs), AI agents, and machine learning models into bespoke business applications.
- Design and implement data engineering pipelines to ingest, transform, and serve data from heterogeneous sources including SQL databases and third‑party APIs.
- Oversee architectural decisions, CI/CD pipelines, and infrastructure‑as‑code to ensure reliability, security, and maintainability across the software development lifecycle.
- Provide technical leadership by researching and adopting industry‑standard best practices, setting engineering standards, and mentoring team members on software engineering principles.
Experience:
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field is required.
- Master's degree in Computer Science, Software Engineering, Data Engineering, or a related discipline is preferred.
- Minimum of 5 years of professional experience in full stack software development with modern web frameworks and cloud-native architectures is required.
- Experience with AI/ML integration, LLM-based application development, Azure cloud services, and Dev Ops practices is highly preferred.
- Experience designing and building ETL/ELT data pipelines, data ingestion workflows, or data platform architectures is preferred.
Competencies:
- Strong proficiency in React with Type Script and modern frontend tooling (Vite, Tailwind CSS).
- Advanced backend development skills in Python (FastAPI), with the ability to design and build RESTful APIs and asynchronous services.
- Hands‑on experience with Azure cloud services including Container Apps, Blob Storage, Cognitive Search, Key Vault, Azure AI Foundry, Azure OpenAI, Azure Identity, and Azure Data Factory or equivalent data integration services.
- Proficiency in containerization and orchestration with Docker and Kubernetes, and experience building CI/CD pipelines with Azure Dev Ops or Azure Pipelines.
- Experience with Infrastructure as Code (Terraform) for provisioning and managing cloud resources.
- Strong knowledge of SQL databases (Microsoft SQL Server preferred), ORM frameworks (SQL Alchemy), and database migration tools (Alembic).
- Data engineering skills including designing ETL/ELT pipelines, data modeling, data ingestion from heterogeneous sources (SQL, Excel, flat files, APIs), and data quality validation.
- Demonstrated experience integrating AI/ML models and large language models (LLMs) into production‑grade applications.
- Solid understanding of application security best practices including OWASP principles, input validation, secrets management, and RBAC/OAuth/OIDC authentication and authorization patterns.
- Experience with testing frameworks and methodologies including unit testing, integration testing, and test automation (Pytest, Jest, React Testing Library).
- Knowledge of caching strategies (Redis), query optimization, and application performance tuning for high‑availability systems.
- Experience with monitoring and observability tools such as Azure Monitor, Application Insights, structured logging, and…
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