HackerOne

4 weeks ago

Senior Software Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Lead the design and delivery of production AI systems powering HackerOne's next-generation security platform. Architect agentic workflows, LLM-powered features, and evaluation frameworks; ship production systems; set AI engineering standards; mentor engineers; collaborate with global teams to ensure reliability and measurable customer impact.

Location: Pune

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Lead production AI delivery by designing and shipping agentic workflows that integrate tool use, orchestration, retrieval, and human-in-the-loop patterns. Own these systems end-to-end, from architecture to rollout to post-launch operations.
•Set the bar for AI engineering quality by defining and implementing evaluation frameworks, including golden sets, offline and online evals, experimentation pipelines, and prompt and version discipline. Embed these practices across squads.
•Apply First Principles Problem Solving to break down ambiguous AI problems, define clear solutions, and deliver scalable, maintainable systems that combine AI with secure, reliable product experiences.
•Adopt an AI-first approach by designing workflows that incorporate LLMs, tooling, retrieval, and human-in-the-loop patterns to improve product outcomes and engineering velocity across the team.
•Mentor and grow engineers, especially on applied AI patterns, evaluation discipline, and production readiness for LLM-based systems. Contribute to a culture of learning and continuous improvement.

Pay and Benefits

Salary: INR 3,700,000 - 4,800,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceEquityRetirementPublic HolidaysPaid LeaveMaternity LeaveEmployee Assistance

Key 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:8+ yearsSaaSAISecurity

Skills:LeadershipCommunicationProblem-solvingCollaborationMentoring

Tech Stack:RubyJavaScriptPythonPostgreSQLAWSRuby on RailsReact JSGraphQL

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

HackerOne

Provides a platform for coordinated vulnerability disclosure, bug bounty programs, and continuous threat exposure management by connecting organizations with a global community of security researchers to find and remediate software, cloud, and AI vulnerabilities.

Industry: Cybersecurity

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2012

Glassdoor: 3.9

Website LinkedIn Glassdoor

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HackerOne

4 weeks ago

Senior Software Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Pune

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Lead production AI delivery by designing and shipping agentic workflows that integrate tool use, orchestration, retrieval, and human-in-the-loop patterns. Own these systems end-to-end, from architecture to rollout to post-launch operations.
•Set the bar for AI engineering quality by defining and implementing evaluation frameworks, including golden sets, offline and online evals, experimentation pipelines, and prompt and version discipline. Embed these practices across squads.
•Apply First Principles Problem Solving to break down ambiguous AI problems, define clear solutions, and deliver scalable, maintainable systems that combine AI with secure, reliable product experiences.
•Adopt an AI-first approach by designing workflows that incorporate LLMs, tooling, retrieval, and human-in-the-loop patterns to improve product outcomes and engineering velocity across the team.
•Mentor and grow engineers, especially on applied AI patterns, evaluation discipline, and production readiness for LLM-based systems. Contribute to a culture of learning and continuous improvement.

Pay and Benefits

Salary: INR 3,700,000 - 4,800,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceEquityRetirementPublic HolidaysPaid LeaveMaternity LeaveEmployee Assistance

Key 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:8+ yearsSaaSAISecurity

Skills:LeadershipCommunicationProblem-solvingCollaborationMentoring

Tech Stack:RubyJavaScriptPythonPostgreSQLAWSRuby on RailsReact JSGraphQL

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

HackerOne

Industry: Cybersecurity

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2012

Glassdoor: 3.9

Website LinkedIn Glassdoor