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# Lead Software Engineer

- **Company:** Generative Ai
- **Location:** Phoenix, AZ, United States (Remote available)
- **Experience:** Expert
- **Salary:** $126,880.0 - $137,280.0
- **Contract:** Temporary to permanent
- **Skills:** Clean Code Principles, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software Engineering, Enterprise Data Management, Large Language Models, Prompt Engineering, Backend, Git, AI Platforms, Production Code, Software Coding, Software Version Control
- **Published:** July 25, 2026
- **Apply:** https://mondo.gosnaphop.com/jobs/l/login/c8336608-98ca-11ec-8029-42010a8a0008/40a6f50a-87e5-11f1-8519-024201c20d84/false?applyId=58269d74-8433-11f1-8519-024201c20d84&apply=true&returnUrl=%2Fjobs%2Fl%2Frecruiting%2Fjobapplication%2F58269d74-8433-11f1-8519-024201c20d84%2F40a6f50a-87e5-11f1-8519-024201c20d84%2Ffalse%3Fstep%3D1

## About the Role

* Must-Haves:
 + Senior or Staff-level software engineering experience with hands-on coding.
 + Proven experience delivering production AI applications.
 + Strong experience with Large Language Models (LLMs).
 + Experience building AI agents and agentic workflows.
 + Hands-on experience with AI evaluation (Evals) frameworks.
 + Strong prompt engineering skills.
 + Backend or full-stack software development experience (backend preferred).
 + Strong software engineering fundamentals including Git, testing, version control, and clean coding practices.
 + Experience leading technical initiatives while remaining hands-on.
 + Ability to thrive in fast-paced, ambiguous environments.
 + Excellent communication and stakeholder collaboration skills.
 * Nice-to-Haves:
 + Experience with AWS Bedrock.
 + Experience with Azure AI Foundry.
 + Experience consuming AI models through AWS, Azure, or GCP.
 + Experience building natural language interfaces over structured enterprise data.
 + Enterprise software development experience.
 + Full-stack development experience.
 + Experience working in agile, lean engineering teams.
 + Experience balancing startup-style execution within a large enterprise.

## Description

Lead the design, development, and deployment of production-grade AI applications that solve complex enterprise business challenges while helping establish AI engineering best practices.

Day-to-Day Responsibilities:

 * Own AI initiatives from concept through production deployment.
 * Design, build, and maintain production AI applications.
 * Develop internal AI platforms and productivity tools.
 * Build AI-powered applications leveraging enterprise datasets.
 * Design and improve AI evaluation (Evals) frameworks.
 * Develop AI agents and agentic workflows.
 * Prototype new AI capabilities and transition successful solutions into production.
 * Partner with business stakeholders to identify and deliver AI solutions.
 * Build natural language interfaces for structured enterprise data.
 * Contribute to AI engineering standards and technical best practices.
 * Write clean, scalable, production-quality code.


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