Most Loved Workplace® Certified JobSenior Software Engineer
Assessed by Most Loved Workplace®About the Role
At HackerOne, a Most Loved Workplace® certified employer in the Technology space, Empowering the world to build a safer internet through human-powered security.
As a Senior Software Engineer (IC4), you will lead the design and delivery of production AI systems that power HackerOne's next-generation security platform. You will architect agentic workflows, LLM-powered features, and evaluation frameworks that change how our customers detect, triage, and remediate vulnerabilities. You will ship production systems, set engineering standards for AI work across squads, and be measured on customer outcomes and system reliability. HackerOne is a global leader in offensive security solutions, combining AI with the ingenuity of the world's largest community of security researchers. As we continue to evolve into an AI-powered, human-in-the-loop security platform, we are investing in intelligent, scalable systems that help customers proactively identify and resolve vulnerabilities across their digital ecosystems. You will work closely with engineers, product managers, and designers across Pune, the Netherlands, and North America. This role blends senior technical execution with cross-functional leadership. You will drive meaningful outcomes, advance our AI engineering practices, and mentor engineers building applied AI capabilities. As we establish our Pune office, this role is designed for in-person collaboration. Working onsite will help build strong relationships, accelerate problem-solving, and foster a vibrant and connected engineering culture aligned with our global teams.
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Requirements
- 8+ years of professional software engineering experience in modern SaaS environments.
- Hands-on experience building production AI-assisted features, LLM-powered workflows, or agentic systems at scale.
- Strong working knowledge of agentic architectures, including tool use and function calling, workflow orchestration, retrieval and RAG, and human-in-the-loop patterns.
- Strong working knowledge of LLM evaluation and experimentation, including golden sets, offline and online evals, regression detection, and prompt and version discipline.
- Strong proficiency in at least one dynamically typed, object-oriented programming language such as Ruby, JavaScript, or Python, and experience building scalable backend systems.
- Experience with relational databases (e.g., PostgreSQL) and cloud platforms (e.g., AWS) to design and operate distributed systems.
- Proven experience delivering end-to-end technical projects, including defining scope, managing trade-offs, and driving execution in collaboration with cross-functional partners.
- Able to explain how you evaluate and operate AI systems in production, covering quality metrics, evals, rollout strategy, observability, and failure modes.
- Experience with vector stores, embeddings, hybrid retrieval, and building observability for LLM and agent systems, such as tracing, cost and latency dashboards, and reasoning logs.
- Experience implementing evaluation and experimentation frameworks at team or org scale, including feedback loops that close onto product and model improvements.
- Experience improving engineering practices, workflows, or system design through reusable patterns or shared solutions, particularly for AI engineering.
- Ruby on Rails
- React JS
- PostgreSQL
- GraphQL
- Amazon Web Services
- Exposure to security domains such as vulnerability management, application security, or threat intelligence.
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
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