Applied AI Engineer

• Guide customers through their entire product journey—from initial implementation and technical onboarding to production deployment and post-launch support
• Build custom demos and prototypes showcasing AssemblyAI's models for specific customer use cases
• Lead technical discovery sessions with prospects and customers to understand requirements and design optimal implementations
• Assist with competitive evaluations by providing benchmarks, designing fair comparison tests, and evaluating models against alternatives
• Troubleshoot production issues for customers using streaming and async APIs
• Provide technical guidance on architecture, scaling, data privacy, and integration best practices
• Create proofs-of-concept demonstrating the capabilities of Speech AI
• Travel to customer sites for technical workshops, implementation support, and relationship building
• Serve as the voice of the customer to Product and Research teams, providing feedback on new products and features
• Contribute to documentation, guides, and example code for API integration
• Identify patterns in customer issues and work with Engineering to address root causes
• Collaborate with Sales and Success teams for smooth handoffs and consistent customer experience
• Participate in team off-sites for strategy alignment and team cohesion
• Stay current on AI/ML developments, particularly in speech recognition and NLP
• Experiment with new use cases and applications of models
• Build and maintain an open-source repository of demos and integrations
• Represent AssemblyAI at conferences and industry events

• Located in or willing to relocate to New York City or San Francisco
• 4+ years of customer-facing experience in technical environments, including roles like Solutions Architect, Developer Advocate, or Technical Solutions Engineer
• Strong programming skills in Python and/or TypeScript/JavaScript
• Experience with web APIs, WebSockets, and real-time data streaming
• Understanding of audio fundamentals or willingness to learn quickly
• Ability to leverage AI tools creatively for prototyping and problem-solving
• Problem-solving mindset with the ability to debug unfamiliar codebases
• Comfort with ambiguity and fast-paced work
• Ability and willingness to travel domestically and internationally (10-25% of the time)
• Experience in a startup or high-growth environment preferred
• Understanding of cloud infrastructure (AWS, GCP, Azure) and deployment patterns preferred
• Experience building prototypes or MVPs quickly preferred
• Public speaking or conference presentation experience preferred

Pay range: $150K - $250K