Staff Software Engineer, Applied AI

8+ years of experience as a software engineer, including deep experience building and maintaining production-grade AI platforms and infrastructure.

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

Proven expertise in large language models (LLMs), generative AI, and machine learning frameworks such as TensorFlow, PyTorch, and Transformers in production environments.

Strong hands-on experience in AI platform engineering, including model deployment, MLOps pipelines, model serving infrastructure, and shared AI services architecture.

Experience building systems that support multiple AI product teams and applications, enabling scalable experimentation and deployment.

Solid understanding of AI safety and alignment principles, including responsible AI development, bias mitigation, and ethical AI practices.

Experience building AI development platforms, model registries, experimentation frameworks, and tools that accelerate AI innovation across organizations.

Familiarity with ReAct, AutoGen, or Semantic Kernel for agentic orchestration and multi-agent collaboration.

Experience in agent action routing, secure tool usage APIs, and feedback loops for autonomous agents.

Knowledge of prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and advanced LLM optimization strategies.

Experience with cloud-based AI/ML services (AWS Bedrock, GCP Vertex AI, Azure ML) and containerization technologies (Docker, Kubernetes) for AI workloads.

Familiarity with Ruby on Rails, GraphQL, and React, and experience integrating AI capabilities into production web applications and APIs.

Compensation Bands:

$230K – $280K • 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.