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Replicant

Automated conversational AI for customer service

Senior Full Stack Software Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 5 years of full-stack software engineering experience, ideally in SaaS, artificial intelligence, or complex real-time systems.
  • Experience owning and shipping maintainable solutions that scale to millions of users and are continuously improved.
  • A history of raising engineering standards in teams and collaborating effectively.
  • Strong communication skills for building trust with teammates and stakeholders.
  • Mastery of artificial intelligence tools for writing, improving, debugging, and refactoring large code bases.
  • Experience designing and implementing quality testing for systems, including automated, manual, and artificial intelligence-based testing.
  • Mastery of one or more of TypeScript and frontend frameworks such as React; Node.js for production-grade backend systems; Python; Rust; large language model prompt engineering; Google Cloud services; or Kubernetes.
  • Familiarity with relational databases such as MySQL or PostgreSQL; cloud environments such as AWS, Google Cloud Platform, or Azure and continuous integration/continuous delivery pipelines; and metrics, logging, and monitoring.
  • Enthusiasm for artificial intelligence, machine learning, and telephony.

Responsibilities

  • Build new features for the company's core artificial intelligence voice and chat products, which power millions of daily conversations.
  • Ship high-impact, end-to-end full-stack features rapidly.
  • Integrate automatic speech recognition, text-to-speech, and conversational artificial intelligence model improvements into products.
  • Refactor, optimize, and debug production systems while balancing latency, cost, and user experience.
  • Participate in regular on-call rotations and monitor live production systems.
  • Continuously improve systems based on performance metrics and customer feedback.
  • Promote knowledge sharing and mentorship across distributed systems, high-availability design, and enterprise-scale artificial intelligence user experience.
  • Participate in team and company-wide office events and travel as required.

About the Company

Replicant

Automated conversational AI for customer service

Replicant provides cloud-based conversational AI for customer service. It builds automated chat and voice agents that handle customer inquiries, answer questions, and resolve problems without human intervention, as a service (subscription). How it works: clients integrate Replicant’s AI into their contact channels (phone, chat, etc.), and the system uses natural language understanding to interpret queries, generates responses, and can hand off to human agents if needed; data is stored and analyzed to improve performance, with a focus on anonymous data usage for privacy. How it differs: emphasizes privacy and data security, offering anonymous data handling, and a subscription model with options to upsell or add features; serves a wide range of industries from retail to banking, aiming to automate end-to-end customer support. Goal: help businesses cut costs and boost efficiency by automating customer service interactions while protecting user privacy.

Company size
51-200
Company stage
Series B
Total funding
$120M
Headquarters
San Francisco, CA
Founded
2017

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