Software Engineer, Applied AI

Success in the AI Engineer role will be accomplished by delivering on the responsibilities below in alignment with the Values and Talent Principles that define how we work at HackerOne.

Apply an AI First mindset by building and integrating AI capabilities such as LLM-powered workflows, RAG pipelines, or orchestration components that enhance vulnerability detection and security automation.

Demonstrate First Principles Problem Solving by breaking down AI and security challenges into clear components, identifying core assumptions, and implementing simple, maintainable solutions.

Use Data-Driven Decision Making to evaluate model performance, test hypotheses, analyze telemetry, and iterate on features based on measurable impact.

Practice Change Agility by adapting to evolving AI frameworks, product requirements, and security considerations while maintaining delivery momentum.

Contribute to the development of our AI security agent, Hai, implementing features that enable natural language insights, reasoning workflows, and secure model interactions.

Build and maintain APIs and services that enable secure interactions between AI models, internal systems, and third-party platforms.

Partner cross-functionally with Product, Security Research, and Customer Success to clarify requirements, translate user needs into technical tasks, and deliver reliable solutions.

Stay current with emerging AI and AI security trends, sharing learnings with the team and incorporating relevant advancements into your work.

3+ years of experience as a software engineer, with hands-on experience building production systems

Experience integrating LLMs or generative AI models into applications Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or HuggingFace Transformers

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

Familiarity with agentic frameworks such as ReAct, AutoGen, LangChain, or Semantic Kernel

Experience with RAG architectures, prompt engineering, fine-tuning, or LLM evaluation techniques

Exposure to cloud AI/ML services (AWS Bedrock, GCP Vertex AI, Azure ML)

Familiarity with full-stack technologies such as Ruby on Rails, GraphQL, or React for integrating AI features into production systems

Compensation Bands:

$166K – $203K • Offers Equity

#LI-HM1

Health (medical, vision, dental), life, and disability insurance

Equity stock options

Retirement plans

Paid public holidays and unlimited PTO

Paid maternity and parental leave

Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)

Employee Assistance Program

Eligibility may differ by country

We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).

Visa/work permit sponsorship is not available.

Employment at HackerOne is contingent on a background check.

HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.

This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.

For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.