The ad says“5+ years of full-stack software engineering experience, ideally in SaaS, AI, or complex real-time systems”
The ad says“Mastery of AI tools for writing, improving, debugging, and refactoring large code bases”
The ad says“Cloud environments (AWS, GCP, or Azure) and CI/CD pipelines”
The ad says“Cloud environments (AWS, GCP, or Azure) and CI/CD pipelines”
The ad says“Rust, LLM prompt engineering, Google Cloud Services, Kubernetes”
The ad says“Rust, LLM prompt engineering, Google Cloud Services, Kubernetes”
The ad says“Rust, LLM prompt engineering, Google Cloud Services, Kubernetes”
The ad says“Metrics, logging, and monitoring”
The ad says“Metrics, logging, and monitoring”
The ad says“Metrics, logging, and monitoring”
The ad says“Relational databases (MySQL, PostgreSQL)”
The ad says“Node.Js for production-grade backend systems”
The ad says“Relational databases (MySQL, PostgreSQL)”
The ad says“Python”
The ad says“TypeScript and frontend frameworks (React or similar)”
The ad says“Relational databases (MySQL, PostgreSQL)”
The ad says“Rust, LLM prompt engineering, Google Cloud Services, Kubernetes”
The ad says“5+ years of full-stack software engineering experience, ideally in SaaS, AI, or complex real-time systems”
The ad says“TypeScript and frontend frameworks (React or similar)”
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, helping companies reduce wait times, improve customer satisfaction, and empower representatives to focus on complex problems
You’ll build rich user experiences and backend services that enable customers to design, launch, and monitor these AI-powered conversations
You’ll collaborate closely with our product and machine learning teams to ensure our customers can build compelling and delightful conversations for their callers
Our stack includes TypeScript, Node.js, React, and Python in Kubernetes on GCP
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
Refractor, 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
Benefits
Company Equity: We view our employees as the true owners of Replicant and offer company equity.
Health insurance: We offer a competitive package with health, dental, eye care, and retirement benefits.
Remote-friendly: From the Bay to New Brunswick—we have employees across the world, so you can work wherever works for you!
Frequent offsites: We take team-building seriously and love working side by side.
Flexible vacation: Take a break when you need it so you can come back refreshed and ready.
Sabbatical program: After you’ve worked at Replicant for 5 years, you are eligible to take a sabbatical for up to five weeks.
Equipment stipend: All employees are set up with the essential equipment, but if you have special requests, you’re provided a stipend to cover these costs.
Wellness stipend: We want employees to feel empowered to manage your fitness, health, and mental wellbeing so we offer a yearly wellness stipend.
Preferred experience
Familiarity with all of the following
Cloud environments (AWS, GCP, or Azure) and CI/CD pipelines
5+ years of full-stack software engineering experience, ideally in SaaS, AI, or complex real-time systems
Metrics, logging, and monitoring
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
Mastery of AI tools for writing, improving, debugging, and refactoring large code bases
Rust, LLM prompt engineering, Google Cloud Services, Kubernetes
Strong communication skills that build trust with teammates and stakeholders
Demonstrated experience designing and implementing quality testing for systems you’ve built, including automated, manual, and AI
TypeScript and frontend frameworks (React or similar)
