Software Engineer

Replicant is a company that believes AI should work for people, focusing on customer service through their innovative platform. They are seeking a Full Stack Software Engineer to design and deliver technology that powers natural, human-like conversations at scale, helping companies improve customer satisfaction and reduce wait times.

Responsibilities:

• 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

Requirements:

• 2-3 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