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Inworld AI

Founding AI Solutions Engineer

Inworld AI

. Partner with GTM Leads on deals, lead technical discovery, run POCs, and own solution design from first call through close .

Posted 10/14/2026full-timeMountain View • California • United StatesMid-LevelSenior💰 $170,000 - $250,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong technical expertise in building and integrating AI/ML solutions, with a focus on customer engagement and effective communication. Capable of leading technical discovery, running POCs, and translating customer needs into actionable insights.

Highest-signal resume keywords
Python ProgrammingAI/ML API FamiliarityTechnical POC ManagementEffective CommunicationCustomer-Facing Technical Role Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Production-Quality Integration CodeJavaScriptTypeScriptLLM InferenceSpeech ModelsStreaming APIsOn-Premise DeploymentContainerizationModel ServingQuantization
Soft Skills
EmpathyIntegrityAdaptability
Tools & Technologies
WebSocketWebRTCClayN8nZapier
Certifications & Qualifications
Bachelor's Degree in Technical Domain
Industry Keywords
Voice AITTSSTTReal-Time AudioGamingCCaaSMedia and Entertainment

Tech Stack

Tools & technologies
CloudJavaScriptPythonTypeScript

About the role

Key responsibilities & impact
  • Partner with GTM Leads on deals, lead technical discovery, run POCs, and own solution design from first call through close
  • Build working prototypes and reference integrations for Inworld's TTS, STT, LLM Router, LLM inference, and Realtime API solutions in customer contexts
  • Serve as the primary technical advisor during onboarding and guide customers from signed contract to production-quality integration
  • Translate customer requirements into actionable feedback for Product and Engineering
  • Answer technical questions about latency tradeoffs, on-premises versus cloud deployment, streaming architecture, and model selection
  • Build and maintain integration examples, demo environments, and technical collateral for the GTM team
  • Identify expansion opportunities based on customers' products and needs
  • Help shape the technical sales process and define the Solutions Engineering function
  • Work with GTM leadership to redefine modern GTM and sales processes

Requirements

What you’ll need
  • 5+ years of experience in a customer-facing technical role (Solutions Engineer, Sales Engineer, Solutions Architect, or Technical Account Manager)
  • Strong hands-on coding ability; production-quality integration code
  • Python strongly preferred
  • JavaScript/TypeScript a plus
  • Deep familiarity with AI/ML APIs, LLMs, speech models, and streaming APIs
  • Demonstrated ability to run technical POCs end-to-end and drive them to a decision
  • Effective communication across technical and business conversations
  • High level of empathy and integrity in customer interactions
  • Ability to thrive in ambiguity and constant change
  • Bachelor's degree or higher in a technical domain
  • Candidates must be based in the SF Bay Area or willing to relocate
  • Must work on-site in the South Bay office a few days a week
  • Experience with voice AI, TTS, STT, or real-time audio and speech systems is a bonus
  • Background in gaming, CCaaS, or media and entertainment is a bonus
  • Familiarity with on-premise and edge deployment patterns, including containerization, model serving, and quantization, is a bonus
  • Experience with WebSocket/WebRTC or real-time streaming infrastructure is a bonus
  • Prior experience at a high-growth startup or as a founder/operator is a bonus
  • Experience with modern GTM tooling such as Clay, n8n, and Zapier is a bonus

Benefits

Comp & perks
  • Bonus
  • Equity
  • Benefits