Senior Software Engineer (AI Products)

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Requirements:

• 7+ years developing and launching web applications/systems into production environments
• Experience with or exposure to AI/ML technologies and understanding how they can enhance assessment and interviewing products
• Experience integrating LLM APIs, familiarity with knowledge-enhanced language model pipelines, and ability to evaluate and improve AI feature performance
• Strong proficiency in Ruby, Python, TypeScript/JavaScript, or similar languages with experience in modern web frameworks and REST and GraphQL API design
• Experience with system architecture, database design, cloud infrastructure, and deployment technologies (AWS, GCP, or Azure)
• Knowledge of software engineering best practices including CI/CD, testing strategies, and performance optimization
• Ability to work effectively in cross-functional teams with excellent communication skills; can translate complex technical concepts for diverse stakeholders
• Demonstrated ability to provide technical leadership, including mentoring teammates and driving technical decisions
• Interest in technical interviewing, talent assessment, or educational technology is highly valued

Responsibilities:

• Design and develop sophisticated full-stack systems that power our next-generation interview platform, incorporating AI capabilities where they add the most value.
• Build scalable, production-ready infrastructure and services that maintain high standards of performance, reliability, and security.
• Create intuitive interfaces and APIs that serve interviewers, candidates, and hiring teams effectively.
• Collaborate with cross-functional teams (product managers, designers, data scientists) to translate complex requirements into elegant technical solutions.
• Contribute to architecture decisions that balance innovation with reliability, ensuring our platform evolves while maintaining enterprise-grade stability.
• Serve as a technical leader by sharing expertise across engineering teams, promoting best practices, and elevating the overall technical capability of the organization.
• Balance short-term deliverables with long-term technical health, addressing both customer-facing features and foundational infrastructure.