AI Software Engineer

StackHawk is reimagining AppSec for AI-driven development, where applications are built faster than AppSec tools can keep up. We enable AppSec teams to prioritize testing and fixing what matters with our AppSec Intelligence Platform, which combines scalable runtime testing with attack surface discovery from source code. By delivering real-time visibility and centralized program intelligence, StackHawk empowers AppSec teams to evaluate risk, prove value, and scale testing coverage.

The reality : AI has accelerated development velocity by 3-5x, enabling code to be written faster than AppSec teams can track it, while threat actors launch attacks at machine speed. Meanwhile, security teams are stuck with tools that can't keep up-SAST creates alert fatigue, legacy DAST catches issues too late, and there's no visibility into what apps exist or how secure they are. Security can't just keep up with AI innovation-it has to fuel it.

Are you an experienced AI engineer eager to design and ship cutting-edge AI systems? Do you want to shape the future of developer-focused security tooling? Can you tolerate ridiculous bird puns? If so, keep reading to learn about an exciting opportunity at StackHawk!

The Role

Join StackHawk's expanding Engineering team as a talented AI Software Engineer ! You'll collaborate with our skilled Product Development team to architect, build, and operate production-grade AI features. This pivotal role directly contributes to StackHawk's mission of revolutionizing application security by building agentic (multi-prompt, iterative) AI pipelines, enabling intelligent automation, and delivering reliable, safe, and performant AI capabilities at scale. If you're passionate about bringing state-of-the-art AI into production with rigorous engineering practices, this is your opportunity to make a significant impact.

What You'll Do

• Design & Build AI Systems : Architect and ship Agentic (multi-prompt, iterative) AI pipelines that solve real-world problems at scale.
• Productionize AI Features : Bring AI prototypes into robust, production environments, ensuring reliability, performance, and security.
• Advance AI Capabilities : Apply state-of-the-art techniques including fine-tuning, transformer models, retrieval-augmented generation (RAG), and model evaluation.
• Ensure Quality & Safety : Implement data guardrails, fairness / bias mitigation strategies, and guardrail systems to ensure safe and reliable model outputs.
• Collaborate Across Functions : Partner with product, development, and infrastructure teams to deliver high-impact features.
• Operate at Scale : Monitor and maintain deployed AI systems using real-time observability.
• Set Standards : Establish best practices for testing, evaluation, and continuous improvement of AI / ML features.

What We're Looking For

Nice to Have

The Goods

$150,000 - $190,000 a year

The salary range for this position is $150,000 - $190,000.

At StackHawk, we constantly strive to create an environment that allows our employees (Hawks) to do the best work of their lives. With our roots beginning in downtown Denver Colorado, we have many folks based in the Mountain time zone with the rest of our Hawks working remotely across the United States

We are also committed to keeping Hawks healthy, motivated, focused, and creative. We've designed our top-notch benefits program with these goals in mind. In a nutshell, we've built a place where we truly love working, we think you will too.

StackHawk is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.