Software Engineer

Replicant

Full Stack Software Engineer building AI voice and chat products for Replicant, an enterprise customer-service AI platform. Developing scalable frontend, backend, and conversational systems with product and machine learning teams.

Posted 8/5/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $130,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full-stack software engineering with a focus on AI and SaaS applications, emphasizing the ability to design, implement, and optimize scalable solutions. Proficient in collaborating with cross-functional teams to enhance user experiences and integrate advanced AI technologies.

Highest-signal resume keywords

Full-Stack Software EngineeringTypeScript MasteryAI Tools ProficiencyExperience with Google Cloud ServicesFamiliarity with CI/CD Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Full-Stack Software EngineeringTypeScriptReactNode.jsPythonRustAI TestingRelational DatabasesMetrics and MonitoringDebugging

Soft Skills

CollaborationCommunication

Tools & Technologies

Google Cloud ServicesKubernetesAWSGCPAzure

Industry Keywords

SaaSAIReal-Time SystemsConversational AIHigh-Availability Design

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaScriptKubernetesMySQLNode.jsPostgresPythonReactRustTypeScript

About the role

Key responsibilities & impact

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
Integrate automatic speech recognition, text-to-speech, and conversational AI 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
Contribute to knowledge sharing and mentorship across distributed systems, high-availability design, and enterprise-scale AI user experience
Participate in team and company-wide office events; travel as required
Design and deliver technology powering natural, human-like conversations at scale
Build user experiences and backend services enabling customers to design, launch, and monitor AI-powered conversations
Collaborate with product and machine learning teams

Requirements

What you’ll need

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
Strong collaboration and communication skills
Mastery of AI tools for writing, improving, debugging, and refactoring large codebases
Experience designing and implementing automated, manual, and AI testing
Mastery of TypeScript and frontend frameworks such as React or similar, Node.js, or Python
Experience with Rust, LLM prompt engineering, Google Cloud Services, or Kubernetes
Familiarity with relational databases such as MySQL and PostgreSQL
Familiarity with cloud environments such as AWS, GCP, or Azure and CI/CD pipelines
Familiarity with metrics, logging, and monitoring
Enthusiasm for AI, machine learning, and telephony
Ability to attend occasional in-person company events and travel as required

Benefits

Comp & perks

Company-wide offsites and smaller team gatherings
Conferences, books, and courses funded through a tech and learning stipend
Flexible remote work and calendar management
Flexible vacations
Paid sabbatical after 5 years
Comprehensive benefits
Physical and mental well-being stipend
Competitive salaries
Equity in the company