“In 36 months, agentic AI systems will be an operating reality across major institutions. We intend to be central to it.” — Dr. Jim Rebesco, Cofounder and CEO, Striveworks

The government’s demand for AI is growing far faster than the systems required to support it. Fewer than 15% of federal AI programs have reached sustained production, despite billions of dollars invested. The models perform in testing, but they degrade in the real world. And when performance drops, trust goes with it.

Striveworks was built to solve that problem.

What you’ll build

Since 2018, we have delivered the most trusted AI systems operating in real-world use cases—providing a layer of assurance underneath hundreds of deployed models that monitors performance, manages drift, and sustains systems long after they leave the lab.

As a Junior Software Engineer, you will be a core contributor to the direction of the company. We’re looking for engineers with a product mindset who are eager to write quality software, solve meaningful problems, and grow their technical skills within an experienced engineering team. We’re looking for people who are excited about our central development themes:

• Everything as Code
• Cloud-neutral development
• User-centric design
• Hexagonal, event-driven, microservices architecture
• Optimizing, deploying, and refining AI models and algorithms

What it’s like here

We lead with trust, treat each other with respect, and use candor consistently, kindly, and constructively. We care deeply about our work, and we find genuine satisfaction in doing it well. Above all, we take ownership—because we feel the weight of collective results personally. We are looking for people who share these values and are eager to put them into practice.

What we’re looking for

• A bachelor’s degree in computer science or a related field, or completion of a software development boot camp and 0–2 years of relevant professional experience
• Strong programming fundamentals and proficiency in Python, Go, or another general-purpose programming language
• Knowledge of standard tooling: CI/CD tools, Git, and exposure to Docker or Kubernetes
• Familiarity of database design and architecture: relational and non-relational
• Familiarity with cloud architecture concepts