Senior Software Engineer - AI

Senior Software Engineer – AI

8+ years of experience as a software engineer
Experience building production-grade AI platforms and infrastructure that support multiple AI product teams and applications
Strong hands-on experience with large language models (LLMs), generative AI, and machine learning frameworks (TensorFlow, PyTorch, Transformers) in production environments
Expertise in AI platform engineering including model deployment, MLOps pipelines, model serving infrastructure, and shared AI services architecture
Solid understanding of AI safety and alignment principles, including responsible AI development, bias mitigation, and ethical AI practices

Build and evolve our autonomous AI security agent “Hai” with capabilities to plan, reason, and take secure actions including vulnerability detection, threat intelligence generation and automated security analysis
Build and enhance our AI security agent “Hai” to provide instant security insights, natural language query processing, and actionable recommendations for security teams
Develop AI red teaming agents and frameworks that help identify vulnerabilities in large language models, generative AI systems, and applied AI deployments
Collaborate with product teams to integrate AI capabilities that enhance vulnerability discovery, validation, and remediation
Create APIs and integrations that enable seamless interaction between AI models, security tools, and the broader HackerOne ecosystem
Partner with cross-functional teams including Product, Security Research, and Customer Success to translate AI innovations into customer-facing security solutions
Integrate emerging agentic frameworks and LLM-based orchestration tools (e.g., LangChain, Semantic Kernel, AutoGen, OpenAgents) to power stateful AI agents with access to security tools, APIs, and third-party systems
Stay current with emerging AI security threats, research cutting-edge AI safety techniques, and contribute to the development of industry-leading AI security standards

Experience building AI development platforms, model registries, experimentation frameworks, and tools that accelerate AI product development across organizations
Familiarity with frameworks like ReAct, AutoGen, or Semantic Kernel for agentic orchestration
Experience in agent action routing, secure tool usage APIs, and feedback loops for autonomous agents
Knowledge of prompt engineering, fine-tuning techniques, retrieval-augmented generation (RAG), and advanced LLM optimization strategies
Background with cloud-based AI/ML services (AWS Bedrock, GCP Vertex AI, Azure ML) and containerization technologies for AI workloads
Familiarity with Ruby on Rails, GraphQL, React, and experience integrating AI capabilities into existing web applications and APIs