About this opportunity
hackerone lists this Senior Software Engineer, AI Platform opportunity in washington, District of Columbia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Senior Software Engineer, AI Platform
Location: Seattle, WA; Austin, TX; Boston, MA; Washington, DC
1 day onsite per week
Position Summary
At HackerOne, 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 HackerOne, 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, Boston, Washington DC, or Austin, TX. We believe this balance of proximity and flexibility gives Hackerone’s employees 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).
Primary Responsibilities
Build components and services that integrate Agentic AI design patterns like AI Orchestration, Memory systems, RAG, Long horizon tasks, LLM‑based models into the HackerOne platform, applying an AI‑First approach to enhance vulnerability detection and security automation.
Contribute to evolve Cloud based execution of AI security agent Hai, implementing features that enable natural language security insights, improved reasoning, and secure action workflows in cloud.
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.
Minimum Qualifications
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 distributed system 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, TensorFlow, or HuggingFace Transformers
Familiarity with model deployment workflows, evaluation techniques, or MLOps concepts
Understanding of responsible AI development and basic AI safety considerations
Preferred Qualifications
Experience contributing to AI development platforms, internal ML tooling, or experimentation workflows
Exposure to agentic frameworks such as ReAct, AutoGen, LangChain, or Semantic Kernel
Experience with Agentic AI Ops, ML Ops.
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, GraphQL, or React‑especially for integrating AI capabilities into existing systems
Compensation
$190K – $230K* (Offers Equity)
Job Benefits
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 United Kingdom, 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.
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Worksite address
washington, DC, 20022, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.