Software Engineer II, AI

RapidSOS

. Own Voice AI agent capabilities end to end, from problem discovery and experimentation through architecture, implementation, testing, deployment, and impact measurement .

Posted 9/17/2026full-timeRemote • CzechiaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying AI/LLM applications with a strong focus on Python backend development and full-stack capabilities using TypeScript and React. Proficient in improving conversational AI performance through rigorous testing, evaluation, and operational reliability.

Highest-signal resume keywords

Python ProficiencyAI/LLM Application DevelopmentFull-Stack EngineeringDistributed SystemsConversational Agent Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Back-End EngineeringFull-Stack DevelopmentAsync ProgrammingAPIsOperational ReliabilityStatistical ReasoningAutomated MetricsCall AnalysisControlled ExperimentsProblem Discovery

Soft Skills

Self-StarterOwnership MindsetProduct-Minded Problem-SolvingClear CommunicationCollaborative Approach

Tools & Technologies

AI ToolsCall-Replay ToolsProduction MetricsControlled Traffic TrialsReactTypeScript

Industry Keywords

Voice AIConversational QualityService ResilienceImpact MeasurementReal-Time VoiceStreaming Media

Tech Stack

Tools & technologies

Distributed SystemsPythonReactTypeScript

About the role

Key responsibilities & impact

Own Voice AI agent capabilities end to end, from problem discovery and experimentation through architecture, implementation, testing, deployment, and impact measurement
Improve conversational quality, including latency, turn-taking, barge-in, speech recognition, multilingual behavior, protocol adherence, and transfers
Design fail-safe behaviors and strengthen service resilience and observability
Respond to production issues through contributing-factors analysis, mitigation, and prevention
Build and use automated evaluations, call-replay tools, production metrics, and controlled traffic trials
Identify regressions, quantify trade-offs, and improve model and system behavior
Work across the full stack, including Python backend, AI model behavior, and React/TypeScript UI
Use AI tools for code, testing, call analysis, and incident triage while owning architecture, safety boundaries, and production decisions

Requirements

What you’ll need

2-3+ years of back-end or full-stack engineering experience shipping production software end to end
Hands-on experience building AI/LLM applications
Solid fundamentals in distributed systems, APIs, and operational reliability
Real-time voice, streaming media, or conversational agent experience is a strong plus
Strong Python proficiency, including async programming
Flexibility to work full-stack with TypeScript/React frontend; prior experience is a plus or willingness to learn
Ability to evaluate non-deterministic AI behavior using datasets, automated metrics, qualitative call review, controlled experiments, and statistical reasoning
Self-starter with an ownership mindset and bias for action
Product-minded problem-solving and evidence-based trade-off skills
Clear written and verbal communication and collaborative approach
Fluency with AI-assisted coding and AI-forward working practices
Willingness to join a weekly on-call rotation
Willingness to travel 1-2 times per quarter for in-person team gatherings, mostly within Europe

Benefits

Comp & perks

Competitive salary and benefits
Equity participation
Dynamic, flexible and fun start-up work environment
Opportunity to work with a passionate team on a global challenge