
Software Engineer
Posted Aug 6

Posted Aug 6
This is a fully remote position, open to applicants in United States.
• Develop new functionalities that drive millions of daily interactions on Replicant’s primary AI voice and chat solutions.
• Deliver full-stack, end-to-end features that have a significant impact.
• Incorporate automatic speech recognition, text-to-speech, and enhancements to conversational AI models into our products.
• Refactor, optimize, and troubleshoot production systems while balancing latency, costs, and user experience.
• Engage in regular on-call rotations and monitor live production environments.
• Continuously enhance systems based on performance metrics and user feedback.
• Contribute to knowledge sharing and mentorship in distributed systems, high-availability design, and enterprise-scale AI user experiences.
• Participate in team and company-wide events; travel may be required.
• Design and implement technologies that facilitate natural, human-like conversations at scale.
• Create user experiences and backend services for the design, launch, and monitoring of AI-driven conversations.
• Collaborate with product and machine learning teams.
• 2–3 years of experience in full-stack software engineering, preferably in SaaS, AI, or complex real-time systems.
• Proven track record of developing and delivering elegant, maintainable solutions that scale to millions of users.
• History of enhancing engineering standards while prioritizing impact over process.
• Excellent collaboration and communication abilities.
• Proficient in AI tools for writing, enhancing, debugging, and refactoring extensive codebases.
• Experience in designing and implementing automated, manual, and AI-based testing.
• Expertise in TypeScript and frontend frameworks such as React or similar.
• Proficient in Node.js for production-grade backend systems.
• Strong skills in Python.
• Familiarity with Rust, LLM prompt engineering, Google Cloud Services, or Kubernetes.
• Knowledge of relational databases such as MySQL and PostgreSQL.
• Understanding of AWS, GCP, or Azure along with CI/CD pipelines.
• Familiar with metrics, logging, and monitoring.
• Passion for AI, machine learning, and telephony.
• Willingness to attend occasional in-person company events.
• Ability to travel as needed.
• Company-wide offsites and smaller team gatherings.
• Funding for conferences, books, and courses through a technology and learning stipend.
• Remote work by design with flexible calendar management.
• Flexible vacation policies.
• Paid sabbatical after 5 years of service.
• Comprehensive benefits package.
• Stipend for physical and mental well-being.
• Competitive salary offerings.
• Equity in the company.
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