Job description

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. Our AI agents handle millions of calls every month for Fortune 500 companies and high-growth innovators. From processing payments to booking appointments and authenticating users, they help customers get what they need instantly, 24/7. Meanwhile, our real-time conversation insights help contact center leaders coach better and improve every interaction. We are leading the shift from legacy systems to AI-first service, powered by large language models (LLMs) and designed for enterprise scale, security, and empathy. If you’re excited by the potential of LLMs, voice AI, and building category-defining technology with a kind, ambitious team, you’ll love it here. Joining Replicant means working on technology that makes customer service both better and cheaper, for a gigantic market of millions of potential customers. We solve huge challenges with a small team, so every improvement you will ship makes a huge difference. 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. 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 - 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 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 and frontend frameworks (React or similar) - Node.Js for production-grade backend systems - Python - Rust, LLM prompt engineering, Google Cloud Services, Kubernetes - Familiarity with all of the following - Relational databases (MySQL, PostgreSQL) - Cloud environments (AWS, GCP, or Azure) and CI/CD pipelines - Metrics, logging, and monitoring - Enthusiasm for AI, machine learning, telephony For all full-time employees, we offer: 🌴 In-person connection that counts: company-wide offsites and smaller team gatherings designed to make remote work feel personal 🖥️ Tech & learning stipend: Conferences, books, courses — interested? We’ll fund them 📍 Remote by design: We’re distributed — no guilt about life events, we trust you to manage your calendar 🏋️ Health & wellness: Flexible vacations, paid sabbatical after 5 years, comprehensive benefits, plus a stipend to support your physical and mental well-being 💸 Compensation that matches your impact: competitive salaries in the company you’re helping to build 📈 Equity with upside: We believe in shared ownership—You’ll own a real piece of a fast-growing AI company Our Values Replicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture. Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team. Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do. Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own. Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai hr@replicant.ai and we’ll work to meet your needs.

Requirements

Must-haves

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
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
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 and frontend frameworks (React or similar)
Node.Js for production-grade backend systems
Rust, LLM prompt engineering, Google Cloud Services, Kubernetes
Familiarity with all of the following
Relational databases (MySQL, PostgreSQL)
Cloud environments (AWS, GCP, or Azure) and CI/CD pipelines
Metrics, logging, and monitoring

Nice-to-haves

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Keywords to mirror

aimachine learningtypescriptnode.jsreactpythonkubernetesgcprustllmawsazureci/cd

Platform: ashby
Effort: quick

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