Senior Software Engineer, Applied AI

Senior Software Engineer, Applied AI
Location:
Seattle, WA;
Austin, TX. 1 day onsite per week
Position Summary

At Hacker One, we’re revolutionizing offensive security by combining human intelligence with artificial intelligence to help organizations build a safer internet. As a Senior Software Engineer on our AI Platform team, you will contribute directly to the development of our next-generation AI security capabilities, including our in-platform AI security agent,
Hai
. You will help develop AI-powered features that enhance vulnerability discovery, improve security analysis workflows, and expand how thousands of customers detect and respond to emerging threats.

At Hacker One, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a role targeted for candidates within ~50 miles of Seattle, WA or Austin, TX
. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together – fostering collaboration, connection, and in-person moments that enrich our culture – while still preserving the benefits of remote work. Must be able and willing to come to the office once per week (typically Thursdays).

Success in this role will be accomplished by delivering the responsibilities below in alignment with Hacker One’s Talent Principles
: AI-First
, Change Agility
, Data-Driven Decision Making
, and First Principles Problem Solving
.

• Contribute to evolving our AI security agent Hai
  , implementing features that enable natural language security insights, improved reasoning, and secure action workflows.

• Build components and services that integrate Agentic AI design patterns like AI Orchestration, Memory systems, RAG, Long horizon tasks, LLM-based models into the Hacker One platform, applying an AI-First approach to enhance vulnerability detection and security automation.

• Implement features for AI red teaming agents and evaluation tools that help identify risks in LLMs and applied AI systems, supporting safer model development.

• Collaborate cross-functionally with Product, Security Research, and Customer Success to translate customer needs into clear engineering requirements and deliverables.

• Develop and integrate APIs that enable secure interactions between AI models, internal services, and third-party systems, adjusting quickly as requirements evolve with Change Agility
  .

• Use metrics, evaluation data, and telemetry to validate model behavior and improve system performance in alignment with Data-Driven Decision Making
  .

• Break down complex AI and security problems into smaller, fundamental components, applying First Principles Problem Solving to deliver simple, scalable solutions.

• Stay current with emerging AI security trends, contributing findings and learnings to team discussions and implementation planning.

• 5+ years of experience as a software engineer

• Must be able and willing to come to the office once per week (typically Thursdays)

• Experience implementing features within production-grade AI or ML systems, including integrating LLMs or generative AI models into applications

• Hands-on experience with ML frameworks such as PyTorch, Tensor Flow, or Hugging Face Transformers

• Familiarity with model deployment workflows, evaluation techniques, or MLOps concepts

• Understanding of responsible AI development and basic AI safety considerations

• Experience contributing to AI development platforms, internal ML tooling, or experimentation workflows

• Exposure to agentic frameworks such as ReAct, Auto Gen, Lang Chain, or Semantic Kernel

• Familiarity with prompt engineering, fine-tuning, RAG architectures, or LLM optimization techniques

• Experience working with cloud AI/ML services (AWS Bedrock, GCP Vertex AI, Azure ML)

• Familiarity with full-stack technologies such as Ruby on Rails, Graph
  
  QL, or React—especially for integrating AI capabilities into existing systems

Compensation Bands:
Seattle, WA and Austin, TX

$190K – $230K
• Offers Equity Options

#LI-HM1

• Health (medical, vision, dental), life, and…