Technical lead building safe, evaluable LLM agents and AI infrastructure for OpenLoop’s telehealth platform. Setting architecture, observability, retrieval, and model operations direction.
About the role
- Lead AI product initiatives and technical architecture as a Staff AI Engineer at SecurityScorecard. Drive engineering standards and deliver AI-powered solutions in a reputable cybersecurity company.
Responsibilities
- Lead the design and delivery of major AI-powered product initiatives from concept through production, owning the full software development lifecycle
- Define the technical architecture for AI systems at SecurityScorecard: LLM pipelines, agentic workflows, retrieval infrastructure, and evaluation frameworks
- Set the standard for how the engineering organization builds with AI, including development practices, tooling choices, and quality bars
- Use Cursor, Claude Code, and AI-native development tools as core instruments, and model what high-velocity, high-quality AI-augmented engineering looks like for the team
- Collaborate directly with product leadership and the CTO organization to shape the AI product roadmap
- Drive architecture reviews, establish cross-team engineering standards, and elevate the technical level of the teams you work with
- Identify and eliminate bottlenecks in how AI features get built, tested, and shipped across the organization
- Operate with Staff-level ownership: you see the whole problem, not just your part of it
Requirements
- 7+ years of software engineering experience with a track record of leading complex, high-impact technical projects end-to-end
- Demonstrated ability to operate independently across the full product development lifecycle, from problem definition through production operations
- 3+ years building and shipping AI-powered product features in production, including LLM integration, agentic systems, or intelligent automation
- Strong product instincts: you think about user problems and business outcomes, not just technical implementation
- Proficiency in TypeScript and strong backend engineering fundamentals with experience in distributed systems at scale
- Fluency with AI-native development workflows (Cursor, Claude Code, or equivalent) as a primary engineering practice, not an experiment
- Cloud infrastructure experience (AWS preferred) and comfort with the full production stack
- Exceptional communication: able to drive alignment across product, engineering, and executive stakeholders.
Benefits
- Specific to each country, we offer a competitive salary
- stock options
- Health benefits
- unlimited PTO
- parental leave
- tuition reimbursements
- much more!
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