Senior Software Engineer

The role

You will design and deliver technology that powers natural, human-like conversations at scale. You will build user experiences and backend services to help customers design, launch, and monitor AI-powered conversations.

What you will do

• Build new features powering millions of daily conversations on core AI voice and chat products
• Ship full stack end-to-end features
• Integrate automatic speech recognition, text to speech, and conversational AI model improvements
• Refactor, optimize, and debug production systems
• Participate in regular on-call rotations
• Continuously improve systems based on performance metrics and customer feedback
• Shape a culture emphasizing knowledge sharing and mentorship
• Participate in team and company-wide office events

Required qualifications

• 5+ years of full-stack software engineering experience
• Proven experience owning and shipping solutions that scale to millions of users
• Strong communication skills
• 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
• Mastery of one or more of the following: TypeScript and frontend frameworks (React or similar), Node.Js for production-grade backend systems, Python

Nice to have

• SaaS, AI, or complex real-time systems experience
• Rust
• LLM prompt engineering
• Google Cloud Services
• Kubernetes
• Relational databases (MySQL, PostgreSQL)
• Cloud environments (AWS, GCP, or Azure) and CI/CD pipelines
• Metrics, logging, and monitoring
• Enthusiasm for AI, machine learning, telephony

Benefits

• Company-wide offsites and smaller team gatherings
• Tech & learning stipend for conferences, books, and courses
• Flexible vacations
• Paid sabbatical after 5 years
• Comprehensive benefits
• Stipend to support physical and mental well-being
• Competitive salaries
• Equity

About the company

Replicant builds a platform that helps contact centers resolve requests and improve agent performance with AI-powered conversation intelligence and AI agents. They are leading the shift from legacy systems to AI-first service using large language models.