Applied AI Engineer

AssemblyAI AssemblyAI · AI Frontier · Remote · Customer Experience

Applied AI Engineer role focused on customer-facing technical work, building demos, troubleshooting production issues, and helping customers implement Speech AI models. The role involves guiding customers, leading technical discovery, assisting with evaluations, and influencing product roadmap based on customer feedback. Requires strong technical skills, communication, and creativity, with a focus on real-world applications of AI models.

What you'd actually do

  1. Guide customers through their entire product journey—from initial implementation and technical onboarding, through development and testing, all the way to production deployment. Continue to provide support post-launch to ensure their implementation is performing optimally and meeting their business objectives
  2. Build custom demos and prototypes that showcase how AssemblyAI's models can solve specific customer use cases
  3. Lead technical discovery sessions with prospects and customers to understand their requirements and design optimal implementations
  4. Assist with competitive evaluations by providing benchmarks, designing fair comparison tests, and helping customers evaluate our models against alternatives. Work closely with customers to ensure they have the data and support needed to make informed decisions
  5. Troubleshoot production issues for customers using our streaming and async APIs, sometimes requiring you to debug code in languages you may not use daily (Java, Go, Ruby, etc.)

Skills

Required

  • 4+ years of customer-facing experience
  • Experience building and deploying AI/ML models
  • Strong programming skills (Python preferred)
  • Experience with cloud platforms (AWS, GCP, Azure)
  • Excellent communication and presentation skills
  • Ability to debug complex technical issues
  • Familiarity with AI/ML concepts, particularly in speech recognition and NLP

Nice to have

  • Experience with audio processing
  • Knowledge of various AI/ML frameworks (e.g., PyTorch, TensorFlow)
  • Experience with API integrations and SDKs
  • Familiarity with containerization technologies (Docker, Kubernetes)
  • Experience working with enterprise customers

What the JD emphasized

  • customer-facing
  • production issues
  • customer journey
  • technical onboarding
  • production deployment
  • technical discovery sessions
  • competitive evaluations
  • production issues
  • voice of the customer
  • customer issues

Other signals

  • customer-facing technical role
  • build demos
  • troubleshoot production issues
  • implement Speech AI models
  • guide customers through product journey
  • build custom demos and prototypes
  • lead technical discovery sessions
  • assist with competitive evaluations
  • troubleshoot production issues
  • provide technical guidance
  • create proofs-of-concept
  • serve as the voice of the customer
  • contribute to documentation, guides, and example code
  • identify patterns in customer issues
  • collaborate with Sales and Success teams
  • stay current on AI/ML developments
  • experiment with new use cases
  • build and maintain an open-source repository
  • represent AssemblyAI at conferences and industry events