Senior Software Engineer - Replicant

At Replicant, we believe AI should work for people, starting with customer service. That’s why we built a platform that helps contact centers resolve more requests, proactively identify issues, and improve agent performance with AI-powered conversation intelligence and AI agents that act like your best reps.

We’re looking for a Full Stack Software Engineer to join Replicant’s engineering team! As part of our team, you’ll design and deliver technology that powers natural, human-like conversations at scale. You’ll build rich user experiences and backend services that enable customers to design, launch, and monitor these AI-powered conversations. Our stack includes TypeScript, Node.js, React, and Python in Kubernetes on GCP.

What You’ll Do

• Build new features powering millions of daily conversations on Replicant’s core AI voice and chat products
• Ship full stack end-to-end features with high impact in days, not weeks or months
• Integrate automatic speech recognition, text to speech, and conversational AI model improvements into Replicant’s products
• Refactor, optimize, and debug production systems balancing latency, cost, and user delight
• Participate in regular on-call rotations, monitoring live production systems
• Continuously improve systems based on performance metrics and customer feedback
• Shape a fast-moving culture that emphasizes knowledge sharing and mentorship across distributed systems, high-availability design, and user experience for enterprise-scale AI
• Participate in team and company-wide office events (travel required)

What You’ll Bring

• 5+ years of full-stack software engineering experience, ideally in SaaS, AI, or complex real-time systems
• Proven experience owning and shipping elegant, maintainable, continuously improving solutions that scale to millions of users
• History of raising the bar for great engineering in your teams, with strong collaboration skills favoring impact over process
• Strong communication skills that build trust with teammates and stakeholders
• Mastery of AI tools for writing, improving, debugging, and refactoring large code bases
• Demonstrated experience designing and implementing quality testing for systems you’ve built, including automated, manual, and AI
• Mastery of one or more of the following: TypeScript, frontend frameworks (React or similar), Node.js for production-grade backend systems, Python, Rust, LLM prompt engineering, Google Cloud Services, Kubernetes
• Familiarity with relational databases (MySQL, PostgreSQL), cloud environments (AWS, GCP, or Azure), CI/CD pipelines, and metrics/logging/monitoring
• Enthusiasm for AI, machine learning, and telephony

Perks & Benefits

• In-person connection: Company-wide offsites and smaller team gatherings designed to make remote work feel personal
• Tech & learning stipend: Conferences, books, and courses fully funded
• Remote by design: Distributed culture with trust in managing your calendar
• Health & wellness: Flexible vacations, paid sabbatical after 5 years, comprehensive benefits, plus a wellness stipend
• Compensation & Equity: Competitive salary and shared ownership in a fast-growing AI company