Distinguished Software Engineer, AI

This is a Fully Remote Job

About Our Client:

The organization operates in the cybersecurity ratings industry, addressing the challenge of managing and mitigating cybersecurity risks across vast digital footprints. It provides patented rating technology that continuously assesses over 12 million companies worldwide, enabling over 25,000 organizations to monitor themselves, manage third-party risks, report to boards, and underwrite cyber insurance. This work improves organizational resilience by helping identify and remediate cybersecurity vulnerabilities.

About the Opportunity:

The DISTINGUISHED SOFTWARE ENGINEER, AI will play a critical role in transforming how the organization develops software by pioneering agentic coding workflows. This role involves designing and implementing systems where AI agents contribute significantly to code development, establishing tools and processes to ensure reliability and quality at scale. The engineer will influence engineering practices broadly, collaborate across teams, and drive adoption of innovative AI-powered development methods, ultimately shaping how the organization builds and delivers products.

Responsibilities:

• Execute agentic coding workflows in production environments and evaluate their reliability at scale
• Develop tooling, guardrails, evaluation methods, and review processes to ensure trustworthy AI-generated code
• Design resilient systems balancing AI-generated code with necessary human oversight
• Deliver actual product changes as experimental cases for new development approaches
• Collaborate with engineers organization-wide to review work and support adoption of AI workflows
• Participate in candidate interviews and contribute to hiring decisions for the team
• Document learnings for use by other teams without direct involvement
• Architect and implement AI-powered product features using TypeScript, Go, and AWS
• Build agentic workflows, large language model pipelines, and intelligent automation for faster security insights
• Integrate foundation models into products with attention to latency, cost, output quality, and evaluation
• Utilize AI-native development tools as core workflow components
• Lead architecture and code reviews focused on production reliability, security, and maintainability
• Manage projects from concept through production, including monitoring and iterative improvement
• Stay informed on AI tooling and foundation models and integrate relevant advances into practice

Requirements:

• Over 10 years of experience building and deploying production software at leading engineering organizations
• Proven leadership and direction-setting on engineering teams
• Deep knowledge of computer science and system design with ability to design and explain distributed systems
• Extensive hands-on experience using AI coding tools on real codebases with critical insight
• Experience building with large language models, including agents, tool use, prompt design, and evaluation
• Proficiency in TypeScript and strong backend engineering skills
• Ability to navigate ambiguity and shape evolving team roles
• Experience designing and operating distributed systems in cloud environments, preferably AWS
• Practical experience with CI/CD, containerization technologies like Docker and Kubernetes, and production deployments
• Clear communication skills for technical and non-technical audiences

Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.

Benefits & Perks:

• Medical insurance
• 401(k)
• Paid maternity leave
• Paid paternity leave
• Tuition assistance

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.