
Senior Software Engineer
Posted Aug 5

Posted Aug 5
This is a fully remote position, open to applicants in United States.
• Develop innovative features that facilitate millions of daily interactions on Replicant’s primary AI voice and chat products.
• Deliver comprehensive end-to-end features that have a significant impact.
• Incorporate enhancements in automatic speech recognition, text-to-speech, and conversational AI models into our products.
• Refactor, optimize, and troubleshoot production systems while ensuring a balance between latency, cost, and user experience.
• Engage in regular on-call rotations and oversee live production systems.
• Continuously enhance systems based on performance metrics and user feedback.
• Contribute to knowledge sharing and mentorship related to distributed systems, high-availability design, and enterprise-scale AI user experiences.
• Participate in team and company-wide events; travel as necessary.
• Work in collaboration with product and machine learning teams to empower customers in creating AI-driven conversations.
• Over 5 years of experience in full-stack software engineering, preferably in SaaS, AI, or intricate real-time systems.
• Proven track record of owning and delivering elegant, maintainable solutions that scale to millions of users.
• Experience in elevating engineering standards within teams.
• Strong collaboration and communication abilities.
• Expert in AI tools for coding, improving, debugging, and refactoring extensive codebases.
• Experience in designing and executing automated, manual, and AI testing.
• Proficient in TypeScript and frontend frameworks such as React or similar.
• Proficient in Node.js for production-level backend systems.
• Proficient in Python.
• Familiarity with Rust, LLM prompt engineering, Google Cloud Services, or Kubernetes.
• Knowledge of relational databases like MySQL and PostgreSQL.
• Familiarity with cloud platforms like AWS, GCP, or Azure and CI/CD pipelines.
• Understanding of metrics, logging, and monitoring.
• Passion for AI, machine learning, and telephony.
• Willingness to attend occasional in-person company events.
• Authorization to work in the United States or Canada.
• Company-wide offsite events and smaller team gatherings.
• Funding for conferences, books, and courses through a tech and learning stipend.
• Designed for remote work 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 participation in the company.
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