AI Software Engineer

November 6

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StackHawk

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Security • SaaS • API

StackHawk is a powerful API and application security testing platform designed to help engineering teams ship secure software faster. It provides automated security testing integrated into CI/CD workflows, enabling developers to test APIs and applications early and often. With features such as API discovery, OWASP top 10 testing, and integrations with popular developer tools like GitHub and AWS, StackHawk offers modern dynamic application security testing (DAST) solutions. By delivering developer-first security insights, StackHawk empowers teams to shift security left, minimize business disruptions, and manage security risks effectively.

11 - 50 employees

Founded 2020

🔐 Security

☁️ SaaS

🔌 API

💰 $20.7M Series B on 2022-05

📋 Description

• 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.

🎯 Requirements

• Deep AI/ML Expertise • Strong foundation in transformer architectures (encoder-only, decoder-only, and multimodal; e.g., BERT, GPT, LLaMA, Mistral). • Hands-on experience with frontier model tools such as tool calling, MCP, context management, prompt tuning, and evaluation frameworks. • Knowledge of retrieval systems, embeddings, semantic search, and orchestration of complex AI workflows. • Experience with NLP tasks: summarization, entity extraction, dialogue systems, or semantic understanding. • Experience working with frontier models from OpenAI and Anthropic, including token-based inference and orchestration. • Software Engineering Excellence • Proficiency in Rust or similar high-performance languages (Go, C++, systems-level Python). • Experience building production-grade services in cloud-native environments (AWS, GCP, or Azure). • Strong background in scalability, observability, and distributed systems. • Operational Rigor • Experience deploying and operating AI systems in production. • Familiarity with CI/CD pipelines, automated testing, and evaluation frameworks. • Commitment to reliability, cost efficiency, and user trust. • Mindset • Quality-minded, with a deep respect for correctness. • Comfortable working at the intersection of research and production engineering. • Collaborative and impact-driven, with a track record of influencing technical direction.

🏖️ Benefits

• Health, dental, and vision insurance 100% paid for employees and dependents. • Other benefits include life insurance, AD&D, and 401K • Take what you need, vacation plus ten paid holidays! • We’ll contribute to your WFH setup and hook you up with occasional at-home perks.